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- 【影视】 [FreeCourseSite.com] Udemy - TensorFlow Developer Certificate in 2023 Zero to Mastery
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收录时间:2023-12-23
文档个数:865
文档大小:35.1 GB
最近下载:2025-05-15
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10 - NLP Fundamentals in TensorFlow/016 Visualising our model's learned word embeddings with TensorFlow's projector tool.mp4 306.5 MB
12 - Time Series fundamentals in TensorFlow + Milestone Project 3 BitPredict/023 Writing a preprocessing function to turn time series data into windows & labels.mp4 267.8 MB
12 - Time Series fundamentals in TensorFlow + Milestone Project 3 BitPredict/047 Model 7 Putting together the pieces of the puzzle of the N-BEATS model.mp4 254.3 MB
11 - Milestone Project 2 SkimLit/006 Writing a preprocessing function to structure our data for modelling.mp4 232.8 MB
12 - Time Series fundamentals in TensorFlow + Milestone Project 3 BitPredict/041 Model 7 Replicating the N-BEATS basic block with TensorFlow layer subclassing.mp4 231.0 MB
10 - NLP Fundamentals in TensorFlow/015 Model 1 Building, fitting and evaluating our first deep model on text data.mp4 221.1 MB
10 - NLP Fundamentals in TensorFlow/009 Setting up a TensorFlow TextVectorization layer to convert text to numbers.mp4 213.4 MB
07 - Transfer Learning in TensorFlow Part 2 Fine tuning/019 Preparing Model 3 (our first fine-tuned model).mp4 211.2 MB
11 - Milestone Project 2 SkimLit/017 Creating a character-level tokeniser with TensorFlow's TextVectorization layer.mp4 207.7 MB
03 - Neural network regression with TensorFlow/012 Evaluating a TensorFlow model part 3 (getting a model summary).mp4 206.2 MB
05 - Computer Vision and Convolutional Neural Networks in TensorFlow/015 Breaking our CNN model down part 5 Looking inside a Conv2D layer.mp4 199.7 MB
12 - Time Series fundamentals in TensorFlow + Milestone Project 3 BitPredict/042 Model 7 Testing our N-BEATS block implementation with dummy data inputs.mp4 196.9 MB
03 - Neural network regression with TensorFlow/006 The major steps in modelling with TensorFlow.mp4 195.3 MB
11 - Milestone Project 2 SkimLit/021 Model 4 Building a multi-input model (hybrid token + character embeddings).mp4 195.1 MB
12 - Time Series fundamentals in TensorFlow + Milestone Project 3 BitPredict/051 Model 8 Making and evaluating predictions with our ensemble model.mp4 194.3 MB
12 - Time Series fundamentals in TensorFlow + Milestone Project 3 BitPredict/050 Model 8 Building, compiling and fitting an ensemble of models.mp4 191.5 MB
07 - Transfer Learning in TensorFlow Part 2 Fine tuning/003 Downloading and turning our images into a TensorFlow BatchDataset.mp4 184.1 MB
08 - Transfer Learning with TensorFlow Part 3 Scaling Up/018 Making predictions on our test images and evaluating them.mp4 181.9 MB
11 - Milestone Project 2 SkimLit/014 Model 1 Building, fitting and evaluating a Conv1D with token embeddings.mp4 179.1 MB
10 - NLP Fundamentals in TensorFlow/019 Model 3 Building, fitting and evaluating a GRU-cell powered RNN.mp4 179.0 MB
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- 【影视】 Deep Learning - Recurrent Neural Networks with TensorFlow
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收录时间:2024-07-09
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Chapter 2 Recurrent Neural Networks (RNNs), Time Series, and Sequence Data/001. Sequence Data.mp4 73.6 MB
Chapter 2 Recurrent Neural Networks (RNNs), Time Series, and Sequence Data/010. GRU and LSTM (Part 1).mp4 62.3 MB
Chapter 2 Recurrent Neural Networks (RNNs), Time Series, and Sequence Data/008. RNN for Time Series Prediction.mp4 58.0 MB
Chapter 2 Recurrent Neural Networks (RNNs), Time Series, and Sequence Data/003. Autoregressive Linear Model for Time Series Prediction.mp4 56.4 MB
Chapter 2 Recurrent Neural Networks (RNNs), Time Series, and Sequence Data/018. Stock Return Predictions Using LSTMs (Part 3).mp4 56.3 MB
Chapter 2 Recurrent Neural Networks (RNNs), Time Series, and Sequence Data/016. Stock Return Predictions Using LSTMs (Part 1).mp4 53.6 MB
Chapter 3 Natural Language Processing (NLP)/002. Code Preparation (NLP).mp4 50.2 MB
Chapter 2 Recurrent Neural Networks (RNNs), Time Series, and Sequence Data/012. A More Challenging Sequence.mp4 48.3 MB
Chapter 3 Natural Language Processing (NLP)/001. Embeddings.mp4 48.1 MB
Chapter 3 Natural Language Processing (NLP)/004. Text Classification with LSTMs.mp4 42.7 MB
Chapter 2 Recurrent Neural Networks (RNNs), Time Series, and Sequence Data/009. Paying Attention to Shapes.mp4 41.5 MB
Chapter 2 Recurrent Neural Networks (RNNs), Time Series, and Sequence Data/011. GRU and LSTM (Part 2).mp4 41.1 MB
Chapter 2 Recurrent Neural Networks (RNNs), Time Series, and Sequence Data/002. Forecasting.mp4 38.0 MB
Chapter 2 Recurrent Neural Networks (RNNs), Time Series, and Sequence Data/006. Recurrent Neural Networks (Elman Unit Part 2).mp4 33.2 MB
Chapter 2 Recurrent Neural Networks (RNNs), Time Series, and Sequence Data/005. Recurrent Neural Networks (Elman Unit Part 1).mp4 33.0 MB
Chapter 1 Welcome/002. Outline.mp4 30.5 MB
Chapter 2 Recurrent Neural Networks (RNNs), Time Series, and Sequence Data/017. Stock Return Predictions Using LSTMs (Part 2).mp4 27.9 MB
Chapter 3 Natural Language Processing (NLP)/003. Text Preprocessing.mp4 25.2 MB
Chapter 2 Recurrent Neural Networks (RNNs), Time Series, and Sequence Data/014. RNN for Image Classification (Theory).mp4 24.3 MB
Chapter 2 Recurrent Neural Networks (RNNs), Time Series, and Sequence Data/019. Other Ways to Forecast.mp4 21.3 MB
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- 【影视】 TensorFlow 2.0 Masterclass Hands-On Deep Learning and AI
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收录时间:2021-06-03
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[TutsNode.com] - TensorFlow 2.0 Masterclass Hands-On Deep Learning and AI/04 Binary Classification with Artificial Neural Networks/014 Step 2 - Binary Classification.mp4 177.1 MB
[TutsNode.com] - TensorFlow 2.0 Masterclass Hands-On Deep Learning and AI/02 Introduction to Artificial Neural Networks (ANNs)/005 Activation Function.mp4 164.2 MB
[TutsNode.com] - TensorFlow 2.0 Masterclass Hands-On Deep Learning and AI/10 Project 3_ CNN for Predicting the Bank Customer Satisfaction/037 CNN for Predicting the Bank Customer Satisfaction Part 2.mp4 149.0 MB
[TutsNode.com] - TensorFlow 2.0 Masterclass Hands-On Deep Learning and AI/17 Natural Language Processing/073 Text Classification Part 2.mp4 146.8 MB
[TutsNode.com] - TensorFlow 2.0 Masterclass Hands-On Deep Learning and AI/03 Building the Artificial Neural Networks (ANNs)/009 Step 2 - Data Preprocessing.mp4 142.2 MB
[TutsNode.com] - TensorFlow 2.0 Masterclass Hands-On Deep Learning and AI/17 Natural Language Processing/072 Text Classification Part 1.mp4 137.4 MB
[TutsNode.com] - TensorFlow 2.0 Masterclass Hands-On Deep Learning and AI/06 Building Convolutional Neural Networks (CNNs)/022 Building Convolutional Neural Network Step 3.mp4 134.8 MB
[TutsNode.com] - TensorFlow 2.0 Masterclass Hands-On Deep Learning and AI/15 Project 6_ Google Stock Price Prediction with RNN and LSTM/056 Google Stock Price Prediction with RNN and LSTM Part 4.mp4 124.2 MB
[TutsNode.com] - TensorFlow 2.0 Masterclass Hands-On Deep Learning and AI/15 Project 6_ Google Stock Price Prediction with RNN and LSTM/053 Google Stock Price Prediction with RNN and LSTM Part 1.mp4 115.5 MB
[TutsNode.com] - TensorFlow 2.0 Masterclass Hands-On Deep Learning and AI/02 Introduction to Artificial Neural Networks (ANNs)/004 The Neuron.mp4 107.0 MB
[TutsNode.com] - TensorFlow 2.0 Masterclass Hands-On Deep Learning and AI/11 Project 4_ CNN for Credit Card Fraud Detection/041 CNN for Credit Card Fraud Detection Part 2.mp4 106.6 MB
[TutsNode.com] - TensorFlow 2.0 Masterclass Hands-On Deep Learning and AI/17 Natural Language Processing/068 Stop Words.mp4 103.3 MB
[TutsNode.com] - TensorFlow 2.0 Masterclass Hands-On Deep Learning and AI/09 Project 2_ CNN for Breast Cancer Detection/033 CNN for Breast Cancer Detection Part 1.mp4 101.5 MB
[TutsNode.com] - TensorFlow 2.0 Masterclass Hands-On Deep Learning and AI/05 Introduction to Convolutional Neural Networks (CNNs)/018 Convolutional Neural Network Part 1.mp4 100.9 MB
[TutsNode.com] - TensorFlow 2.0 Masterclass Hands-On Deep Learning and AI/07 CNN for Binary Image Classification/027 CNN for Binary Image Classification Step 3.mp4 99.9 MB
[TutsNode.com] - TensorFlow 2.0 Masterclass Hands-On Deep Learning and AI/20 Annex 3_ Data Visualization with Matplotlib/096 Matplotlib Part 4.mp4 95.6 MB
[TutsNode.com] - TensorFlow 2.0 Masterclass Hands-On Deep Learning and AI/11 Project 4_ CNN for Credit Card Fraud Detection/042 CNN for Credit Card Fraud Detection Part 3.mp4 95.5 MB
[TutsNode.com] - TensorFlow 2.0 Masterclass Hands-On Deep Learning and AI/20 Annex 3_ Data Visualization with Matplotlib/091 Matplotlib Part 1 - Functional Method.mp4 95.0 MB
[TutsNode.com] - TensorFlow 2.0 Masterclass Hands-On Deep Learning and AI/17 Natural Language Processing/065 Tokenization.mp4 91.0 MB
[TutsNode.com] - TensorFlow 2.0 Masterclass Hands-On Deep Learning and AI/11 Project 4_ CNN for Credit Card Fraud Detection/040 CNN for Credit Card Fraud Detection Part 1.mp4 89.7 MB
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- 【影视】 Deep Learning with TensorFlow 2.0
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收录时间:2021-04-08
文档个数:231
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最近下载:2025-05-16
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[TutsNode.com] - Deep Learning with TensorFlow 2.0/14 Appendix_ Linear Algebra Fundamentals/104 Why is Linear Algebra Useful_.mp4 151.3 MB
[TutsNode.com] - Deep Learning with TensorFlow 2.0/01 Welcome! Course introduction/001 Meet your instructors and why you should study machine learning_.mp4 110.9 MB
[TutsNode.com] - Deep Learning with TensorFlow 2.0/13 Business case/085 Preprocessing the data.mp4 88.4 MB
[TutsNode.com] - Deep Learning with TensorFlow 2.0/13 Business case/082 Exploring the dataset and identifying predictors.mp4 69.5 MB
[TutsNode.com] - Deep Learning with TensorFlow 2.0/13 Business case/090 Setting an early stopping mechanism.mp4 52.2 MB
[TutsNode.com] - Deep Learning with TensorFlow 2.0/14 Appendix_ Linear Algebra Fundamentals/096 Linear Algebra and Geometry.mp4 52.2 MB
[TutsNode.com] - Deep Learning with TensorFlow 2.0/14 Appendix_ Linear Algebra Fundamentals/103 Dot Product of Matrices.mp4 51.8 MB
[TutsNode.com] - Deep Learning with TensorFlow 2.0/12 The MNIST example/074 Preprocess the data - shuffle and batch the data.mp4 43.6 MB
[TutsNode.com] - Deep Learning with TensorFlow 2.0/12 The MNIST example/078 Learning.mp4 42.9 MB
[TutsNode.com] - Deep Learning with TensorFlow 2.0/02 Introduction to neural networks/016 N-parameter gradient descent.mp4 41.4 MB
[TutsNode.com] - Deep Learning with TensorFlow 2.0/03 Setting up the working environment/023 Installing TensorFlow 2.mp4 40.6 MB
[TutsNode.com] - Deep Learning with TensorFlow 2.0/02 Introduction to neural networks/010 The linear model. Multiple inputs and multiple outputs.mp4 40.1 MB
[TutsNode.com] - Deep Learning with TensorFlow 2.0/14 Appendix_ Linear Algebra Fundamentals/101 Transpose of a Matrix.mp4 39.9 MB
[TutsNode.com] - Deep Learning with TensorFlow 2.0/05 TensorFlow - An introduction/035 Model layout - inputs, outputs, targets, weights, biases, optimizer and loss.mp4 36.4 MB
[TutsNode.com] - Deep Learning with TensorFlow 2.0/14 Appendix_ Linear Algebra Fundamentals/095 Scalars and Vectors.mp4 35.5 MB
[TutsNode.com] - Deep Learning with TensorFlow 2.0/14 Appendix_ Linear Algebra Fundamentals/094 What is a Matrix_.mp4 35.2 MB
[TutsNode.com] - Deep Learning with TensorFlow 2.0/05 TensorFlow - An introduction/031 TensorFlow outline.mp4 35.2 MB
[TutsNode.com] - Deep Learning with TensorFlow 2.0/14 Appendix_ Linear Algebra Fundamentals/099 Addition and Subtraction of Matrices.mp4 34.2 MB
[TutsNode.com] - Deep Learning with TensorFlow 2.0/03 Setting up the working environment/018 Why Python and why Jupyter_.mp4 33.6 MB
[TutsNode.com] - Deep Learning with TensorFlow 2.0/13 Business case/089 Learning and interpreting the result.mp4 32.7 MB
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- 【影视】 Lynda Building and Deploying Deep Learning Applications with TensorFlow
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4. 3. Creating a TensorFlow Model/13. Define the model structure.mp4 28.5 MB
1. Introduction/01. Welcome.mp4 5.0 MB
1. Introduction/02. What you should know.en.srt 940 Bytes
1. Introduction/02. What you should know.mp4 668.9 kB
1. Introduction/03. Using the exercise files.en.srt 1.0 kB
1. Introduction/03. Using the exercise files.mp4 986.1 kB
2. 1. Setting Up TensorFlow/04. Install TensorFlow on macOS.en.srt 6.2 kB
2. 1. Setting Up TensorFlow/04. Install TensorFlow on macOS.mp4 11.5 MB
2. 1. Setting Up TensorFlow/05. Install TensorFlow on Windows.en.srt 11.2 kB
2. 1. Setting Up TensorFlow/05. Install TensorFlow on Windows.mp4 20.5 MB
3. 2. TensorFlow Overview/06. What is TensorFlow.en.srt 6.7 kB
3. 2. TensorFlow Overview/06. What is TensorFlow.mp4 4.8 MB
3. 2. TensorFlow Overview/07. Why is it called TensorFlow.en.srt 2.7 kB
3. 2. TensorFlow Overview/07. Why is it called TensorFlow.mp4 2.3 MB
3. 2. TensorFlow Overview/08. Hardware, software, and language requirements.en.srt 5.7 kB
3. 2. TensorFlow Overview/08. Hardware, software, and language requirements.mp4 5.0 MB
3. 2. TensorFlow Overview/09. The train_test_evaluation flow in TensorFlow.en.srt 12.1 kB
3. 2. TensorFlow Overview/09. The train_test_evaluation flow in TensorFlow.mp4 9.8 MB
3. 2. TensorFlow Overview/10. Build a simple model in TensorFlow.en.srt 10.5 kB
3. 2. TensorFlow Overview/10. Build a simple model in TensorFlow.mp4 11.1 MB
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- 【影视】 [Udemy] A Complete Guide on TensorFlow 2.0 using Keras API (2021) [En]
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收录时间:2021-04-22
文档个数:272
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16. Annex 2 - Convolutional Neural Networks Theory/7. Step 4 - Full Connection.mp4 203.6 MB
17. Annex 3 - Recurrent Neural Networks Theory/5. LSTM Practical Intuition.mp4 196.5 MB
1. Introduction/1. Welcome to the TensorFlow 2.0 course! Discover its structure and the TF toolkit..mp4 153.4 MB
16. Annex 2 - Convolutional Neural Networks Theory/5. Step 2 - Max Pooling.mp4 147.0 MB
7. Deep Reinforcement Learning Theory/9. Action Selection Policies.mp4 143.5 MB
17. Annex 3 - Recurrent Neural Networks Theory/4. LSTMs.mp4 143.1 MB
17. Annex 3 - Recurrent Neural Networks Theory/2. What are Recurrent Neural Networks.mp4 126.8 MB
16. Annex 2 - Convolutional Neural Networks Theory/9. Softmax & Cross-Entropy.mp4 123.6 MB
2. TensorFlow 2.0 Basics/1. From TensorFlow 1.x to TensorFlow 2.0.mp4 120.4 MB
7. Deep Reinforcement Learning Theory/8. Experience Replay.mp4 120.3 MB
15. Annex 1 - Artificial Neural Networks Theory/5. How do Neural Networks Learn.mp4 117.6 MB
17. Annex 3 - Recurrent Neural Networks Theory/3. Vanishing Gradient.mp4 116.4 MB
16. Annex 2 - Convolutional Neural Networks Theory/2. What are Convolutional Neural Networks.mp4 113.1 MB
7. Deep Reinforcement Learning Theory/6. Deep Q-Learning Intuition - Step 1.mp4 104.8 MB
15. Annex 1 - Artificial Neural Networks Theory/2. The Neuron.mp4 103.5 MB
16. Annex 2 - Convolutional Neural Networks Theory/3. Step 1 - Convolution.mp4 102.6 MB
7. Deep Reinforcement Learning Theory/5. Temporal Difference.mp4 101.8 MB
7. Deep Reinforcement Learning Theory/2. The Bellman Equation.mp4 99.7 MB
7. Deep Reinforcement Learning Theory/3. Markov Decision Process (MDP).mp4 98.9 MB
4. Convolutional Neural Networks/2. Building the Convolutional Neural Network.mp4 92.5 MB
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- 【影视】 [GigaCourse.com] Udemy - Neural Networks (ANN) using Keras and TensorFlow in Python
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收录时间:2021-03-14
文档个数:129
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11. Python - Solving a Regression problem using ANN/1. Building Neural Network for Regression Problem.mp4 163.5 MB
13. Saving and Restoring Models/1. Saving - Restoring Models and Using Callbacks.mp4 158.9 MB
4. Neural Networks - Stacking cells to create network/3. Back Propagation.mp4 128.1 MB
15. Add-on 1 Data Preprocessing/12. Bi-variate analysis and Variable transformation.mp4 105.3 MB
16. Add-on 2 Classic ML models - Linear Regression/3. Assessing accuracy of predicted coefficients.mp4 96.6 MB
12. Complex ANN Architectures using Functional API/1. Using Functional API for complex architectures.mp4 96.6 MB
3. Single Cells - Perceptron and Sigmoid Neuron/3. Python - Creating Perceptron model.mp4 90.8 MB
10. Python - Building and training the Model/3. Compiling and Training the Neural Network model.mp4 85.7 MB
10. Python - Building and training the Model/2. Building the Neural Network using Keras.mp4 83.0 MB
15. Add-on 1 Data Preprocessing/17. Correlation Analysis.mp4 75.1 MB
15. Add-on 1 Data Preprocessing/8. Outlier Treatment in Python.mp4 73.6 MB
10. Python - Building and training the Model/4. Evaluating performance and Predicting using Keras.mp4 73.3 MB
16. Add-on 2 Classic ML models - Linear Regression/9. Multiple Linear Regression in Python.mp4 73.1 MB
15. Add-on 1 Data Preprocessing/3. The Dataset and the Data Dictionary.mp4 72.7 MB
2. Setting up Python and Jupyter Notebook/2. Opening Jupyter Notebook.mp4 68.3 MB
2. Setting up Python and Jupyter Notebook/5. Strings in Python Python Basics.mp4 67.6 MB
16. Add-on 2 Classic ML models - Linear Regression/5. Simple Linear Regression in Python.mp4 66.5 MB
5. Important concepts Common Interview questions/1. Some Important Concepts.mp4 65.2 MB
15. Add-on 1 Data Preprocessing/6. EDD in Python.mp4 64.8 MB
14. Hyperparameter Tuning/1. Hyperparameter Tuning.mp4 63.6 MB
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- 【影视】 Packt - Tensorflow Deep Learning Solutions for Images
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收录时间:2018-07-23
文档个数:25
文档大小:225.7 MB
最近下载:2025-05-14
人气:3619
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tensorflowdeeplearningsolutionsforimages_video.docx 18.1 kB
video1_1.mp4 7.7 MB
video1_2.mp4 14.1 MB
video1_3.mp4 8.1 MB
video1_4.mp4 5.7 MB
video1_5.mp4 11.3 MB
video2_1.mp4 8.8 MB
video2_2.mp4 9.7 MB
video2_3.mp4 8.9 MB
video2_4.mp4 6.7 MB
video3_1.mp4 6.4 MB
video3_2.mp4 4.4 MB
video3_3.mp4 11.2 MB
video3_4.mp4 6.9 MB
video3_5.mp4 7.8 MB
video3_6.mp4 9.7 MB
video3_7.mp4 5.1 MB
video3_8.mp4 15.6 MB
video4_1.mp4 7.5 MB
video4_2.mp4 8.0 MB
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- 【影视】 [FreeCoursesOnline.Me] PacktPub -Learn Artificial Intelligence with TensorFlow [Video]
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文档个数:33
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3.Natural Language Processing and Recurrent Neural Networks/10.Embeddings.mp4 374.1 MB
6.Miscellaneous Topics and Course Summary/25.TensorFlow Eager.mp4 327.1 MB
1.TensorFlow Setup and Fundamental Concepts/03.TensorFlow Basics Part 1 - Tensors and Variables.mp4 118.8 MB
6.Miscellaneous Topics and Course Summary/23.TPUs.mp4 109.9 MB
2.Computer Vision/06.Convolutional Neural Networks.mp4 106.2 MB
1.TensorFlow Setup and Fundamental Concepts/04.TensorFlow Basics Part 2 - Graphs and Sessions.mp4 105.6 MB
1.TensorFlow Setup and Fundamental Concepts/05.TensorFlow Basics Part 3 - Training, Saving, and Restoring.mp4 103.9 MB
5.TensorFlow in Production/19.Requirements for ML at Scale.mp4 85.3 MB
5.TensorFlow in Production/20.TensorFlow with C++.mp4 78.2 MB
6.Miscellaneous Topics and Course Summary/26.Course Summary and Next Steps.mp4 71.3 MB
4.Tips and Tricks/15.TensorBoard.mp4 64.3 MB
1.TensorFlow Setup and Fundamental Concepts/02.Machine Learning Basics.mp4 63.9 MB
1.TensorFlow Setup and Fundamental Concepts/01.The Course Overview.mp4 53.0 MB
4.Tips and Tricks/17.Training Tips.mp4 40.8 MB
5.TensorFlow in Production/21.TensorFlow Serving.mp4 40.8 MB
4.Tips and Tricks/16.Working with Estimators.mp4 40.8 MB
2.Computer Vision/09.Training a CNN on CIFAR-10 – Part 2.mp4 37.9 MB
4.Tips and Tricks/18.Debugging Strategies.mp4 33.0 MB
2.Computer Vision/08.Training a CNN on CIFAR-10 – Part 1.mp4 25.3 MB
3.Natural Language Processing and Recurrent Neural Networks/13.Models for Text Classification – Part 1.mp4 24.4 MB
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1.Convolutional Neural Networks for Computer Vision/06.Transfer Learning.mp4 352.0 MB
1.Convolutional Neural Networks for Computer Vision/02.Installation and Setup.mp4 99.4 MB
1.Convolutional Neural Networks for Computer Vision/03.Defining Layers for Image Recognition.mp4 206.8 MB
1.Convolutional Neural Networks for Computer Vision/04.Building an Image Classifier with CNNs.mp4 296.0 MB
1.Convolutional Neural Networks for Computer Vision/05.Building Better CNNs with Regularization.mp4 223.4 MB
1.Convolutional Neural Networks for Computer Vision/01.The Course Overview.mp4 81.2 MB
2.Applications of Recurrent Neural Networks/07.The Intuition Behind RNNs.mp4 141.5 MB
2.Applications of Recurrent Neural Networks/08.Time Series Forecasting with RNN.mp4 327.8 MB
2.Applications of Recurrent Neural Networks/09.Producing Word Embeddings for NLP Tasks.mp4 290.0 MB
2.Applications of Recurrent Neural Networks/10.Processing Text Sequences with LSTM Networks.mp4 339.3 MB
3.Application of Deep Learning to AI Problems/11.Guessing Correlations from Scatter Plots.mp4 42.4 MB
3.Application of Deep Learning to AI Problems/12.Introduction to Generative Adversarial Networks.mp4 16.1 MB
3.Application of Deep Learning to AI Problems/13.Creating Images with GANs.mp4 54.5 MB
3.Application of Deep Learning to AI Problems/14.Sequence to Sequence Models.mp4 11.4 MB
3.Application of Deep Learning to AI Problems/15.Building a Language Translator.mp4 55.1 MB
4.Introduction to Reinforcement Learning/16.Key Concepts in Reinforcement Learning.mp4 14.3 MB
4.Introduction to Reinforcement Learning/17.A Simple Environment and Basic Policies.mp4 27.4 MB
4.Introduction to Reinforcement Learning/18.Training a Neural Network Policy.mp4 40.8 MB
4.Introduction to Reinforcement Learning/19.Using an Intelligent Agent.mp4 146.1 MB
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收录时间:2024-07-11
文档个数:50
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最近下载:2025-05-15
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Chapter 2 Convolutional Neural Networks (CNNs)/005. CNN Architecture.mp4 65.9 MB
Chapter 2 Convolutional Neural Networks (CNNs)/006. CNN Code Preparation.mp4 62.6 MB
Chapter 2 Convolutional Neural Networks (CNNs)/011. Improving CIFAR-10 Results.mp4 58.9 MB
Chapter 2 Convolutional Neural Networks (CNNs)/004. Convolution on Color Images.mp4 58.6 MB
Chapter 2 Convolutional Neural Networks (CNNs)/001. What Is Convolution (Part 1).mp4 57.9 MB
Chapter 4 Transfer Learning for Computer Vision/005. Transfer Learning Code (Part 1).mp4 52.2 MB
Chapter 3 Natural Language Processing (NLP)/002. Code Preparation (NLP).mp4 49.2 MB
Chapter 3 Natural Language Processing (NLP)/001. Embeddings.mp4 45.4 MB
Chapter 4 Transfer Learning for Computer Vision/001. Transfer Learning Theory.mp4 44.6 MB
Chapter 4 Transfer Learning for Computer Vision/006. Transfer Learning Code (Part 2).mp4 39.0 MB
Chapter 2 Convolutional Neural Networks (CNNs)/007. CNN for Fashion MNIST.mp4 36.2 MB
Chapter 3 Natural Language Processing (NLP)/005. Text Classification with CNNs.mp4 33.6 MB
Chapter 4 Transfer Learning for Computer Vision/003. Large Datasets and Data Generators.mp4 33.6 MB
Chapter 3 Natural Language Processing (NLP)/004. CNNs for Text.mp4 31.6 MB
Chapter 2 Convolutional Neural Networks (CNNs)/009. Data Augmentation.mp4 31.2 MB
Chapter 4 Transfer Learning for Computer Vision/002. Some Pre-Trained Models (VGG, ResNet, Inception, MobileNet).mp4 27.5 MB
Chapter 2 Convolutional Neural Networks (CNNs)/008. CNN for CIFAR-10.mp4 26.1 MB
Chapter 3 Natural Language Processing (NLP)/003. Text Preprocessing.mp4 25.0 MB
Chapter 1 Welcome/002. Outline.mp4 24.6 MB
Chapter 2 Convolutional Neural Networks (CNNs)/003. What Is Convolution (Part 3).mp4 23.5 MB
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- 【影视】 [ DevCourseWeb.com ] Udemy - Mastering Neural Style Transfer - Tensorflow, Keras and Python
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收录时间:2024-01-15
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磁力链接
~Get Your Files Here !/1 - Fundamentals/5 - Applications.mp4 46.8 MB
~Get Your Files Here !/1 - Fundamentals/4 - Why Should we Learn.mp4 37.8 MB
~Get Your Files Here !/2 - Model Building and Prediction/28 - Calculates the total loss.mp4 26.5 MB
~Get Your Files Here !/1 - Fundamentals/2 - What is Neural Style Transfer.mp4 21.4 MB
~Get Your Files Here !/1 - Fundamentals/1 - Introduction.mp4 21.0 MB
~Get Your Files Here !/1 - Fundamentals/3 - About this Project.mp4 15.8 MB
~Get Your Files Here !/2 - Model Building and Prediction/9 - Contents in Directory.mp4 14.9 MB
~Get Your Files Here !/2 - Model Building and Prediction/32 - Perform the style transfer optimization loop.mp4 13.4 MB
~Get Your Files Here !/2 - Model Building and Prediction/11 - Checking the availability and usage of GPUs.mp4 11.9 MB
~Get Your Files Here !/2 - Model Building and Prediction/14 - Setting the directory path.mp4 11.7 MB
~Get Your Files Here !/2 - Model Building and Prediction/33 - Save and display the final generated image.mp4 10.9 MB
~Get Your Files Here !/2 - Model Building and Prediction/18 - Convert the generated image back to its original format.mp4 10.2 MB
~Get Your Files Here !/2 - Model Building and Prediction/31 - Preprocess the base image style reference image and combination image.mp4 9.8 MB
~Get Your Files Here !/2 - Model Building and Prediction/17 - Preprocesses an image.mp4 9.5 MB
~Get Your Files Here !/2 - Model Building and Prediction/13 - Necessary library imports.mp4 9.2 MB
~Get Your Files Here !/2 - Model Building and Prediction/8 - Setup the Working Directory.mp4 9.2 MB
~Get Your Files Here !/2 - Model Building and Prediction/19 - Calculate the Gram matrix.mp4 9.0 MB
~Get Your Files Here !/2 - Model Building and Prediction/10 - Activate GPU.mp4 8.7 MB
~Get Your Files Here !/1 - Fundamentals/6 - Why Keras and Python.mp4 8.2 MB
~Get Your Files Here !/2 - Model Building and Prediction/20 - Calculates the style loss.mp4 8.0 MB
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- 【影视】 [ DevCourseWeb.com ] Udemy - A Complete Guide on TensorFlow 2.0 using Keras API
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收录时间:2022-02-03
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~Get Your Files Here !/01 - Introduction/001 Welcome to the TensorFlow 2.0 course! Discover its structure and the TF toolkit.mp4 153.4 MB
~Get Your Files Here !/02 - TensorFlow 2.0 Basics/001 From TensorFlow 1.x to TensorFlow 2.0.mp4 120.4 MB
~Get Your Files Here !/17 - Annex 3 - Recurrent Neural Networks Theory/005 LSTM Practical Intuition.mp4 112.7 MB
~Get Your Files Here !/17 - Annex 3 - Recurrent Neural Networks Theory/004 LSTMs.mp4 93.2 MB
~Get Your Files Here !/16 - Annex 2 - Convolutional Neural Networks Theory/005 Step 2 - Max Pooling.mp4 91.7 MB
~Get Your Files Here !/17 - Annex 3 - Recurrent Neural Networks Theory/003 Vanishing Gradient.mp4 90.4 MB
~Get Your Files Here !/16 - Annex 2 - Convolutional Neural Networks Theory/002 What are Convolutional Neural Networks.mp4 74.5 MB
~Get Your Files Here !/16 - Annex 2 - Convolutional Neural Networks Theory/003 Step 1 - Convolution.mp4 68.8 MB
~Get Your Files Here !/10 - Dataset Preprocessing with TensorFlow Transform (TFT)/005 Dataset preprocessing pipeline.mp4 62.7 MB
~Get Your Files Here !/16 - Annex 2 - Convolutional Neural Networks Theory/007 Step 4 - Full Connection.mp4 61.4 MB
~Get Your Files Here !/17 - Annex 3 - Recurrent Neural Networks Theory/002 What are Recurrent Neural Networks.mp4 60.3 MB
~Get Your Files Here !/04 - Convolutional Neural Networks/002 Building the Convolutional Neural Network.mp4 59.3 MB
~Get Your Files Here !/07 - Deep Reinforcement Learning Theory/009 Action Selection Policies.mp4 57.0 MB
~Get Your Files Here !/16 - Annex 2 - Convolutional Neural Networks Theory/009 Softmax & Cross-Entropy.mp4 53.9 MB
~Get Your Files Here !/07 - Deep Reinforcement Learning Theory/002 The Bellman Equation.mp4 50.6 MB
~Get Your Files Here !/06 - Transfer Learning and Fine Tuning/001 What is Transfer Learning.mp4 48.7 MB
~Get Your Files Here !/06 - Transfer Learning and Fine Tuning/002 Project Setup.mp4 46.6 MB
~Get Your Files Here !/15 - Annex 1 - Artificial Neural Networks Theory/002 The Neuron.mp4 45.8 MB
~Get Your Files Here !/15 - Annex 1 - Artificial Neural Networks Theory/005 How do Neural Networks Learn.mp4 45.4 MB
~Get Your Files Here !/07 - Deep Reinforcement Learning Theory/003 Markov Decision Process (MDP).mp4 44.4 MB
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- 【影视】 Deep learning for image segmentation using Tensorflow 2
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收录时间:2022-04-13
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[TutsNode.com] - Deep learning for image segmentation using Tensorflow 2/07 Train and evaluate Mask RCNN model using google AI platform/016 Running the exported model on new examples locally.mp4 238.4 MB
[TutsNode.com] - Deep learning for image segmentation using Tensorflow 2/05 Custom data preparation/005 Annotating a custom dataset.mp4 229.1 MB
[TutsNode.com] - Deep learning for image segmentation using Tensorflow 2/04 Software setup/008 Windows installation _ Installing tensorflow with GPU support.mp4 215.3 MB
[TutsNode.com] - Deep learning for image segmentation using Tensorflow 2/07 Train and evaluate Mask RCNN model using google AI platform/001 What is cloud computing and what is AI Platform_ (optional).mp4 121.6 MB
[TutsNode.com] - Deep learning for image segmentation using Tensorflow 2/04 Software setup/007 Windows installation _ Installing tensorflow 2 object detection API.mp4 112.6 MB
[TutsNode.com] - Deep learning for image segmentation using Tensorflow 2/04 Software setup/003 Linux installation _ How to install tensorflow 2 with GPU support (part 2).mp4 107.7 MB
[TutsNode.com] - Deep learning for image segmentation using Tensorflow 2/07 Train and evaluate Mask RCNN model using google AI platform/012 Analyzing the results after the training of Mask RCNN model is finished.mp4 91.6 MB
[TutsNode.com] - Deep learning for image segmentation using Tensorflow 2/06 Train Mask RCNN model on your local machine/005 Modifying the configuration file - Part 1.mp4 88.9 MB
[TutsNode.com] - Deep learning for image segmentation using Tensorflow 2/07 Train and evaluate Mask RCNN model using google AI platform/013 Analyzing the results of the second training.mp4 88.0 MB
[TutsNode.com] - Deep learning for image segmentation using Tensorflow 2/04 Software setup/002 Linux installation _ How to install tensorflow 2 with GPU support (part 1).mp4 87.8 MB
[TutsNode.com] - Deep learning for image segmentation using Tensorflow 2/07 Train and evaluate Mask RCNN model using google AI platform/015 Downloading the trained model and exporting the SavedModel from checkpoints.mp4 77.5 MB
[TutsNode.com] - Deep learning for image segmentation using Tensorflow 2/06 Train Mask RCNN model on your local machine/007 Running the training locally.mp4 61.8 MB
[TutsNode.com] - Deep learning for image segmentation using Tensorflow 2/05 Custom data preparation/007 Transforming our dataset to tfrecord format.mp4 58.7 MB
[TutsNode.com] - Deep learning for image segmentation using Tensorflow 2/05 Custom data preparation/006 From multiple annotation files to one annotation file.mp4 58.3 MB
[TutsNode.com] - Deep learning for image segmentation using Tensorflow 2/04 Software setup/004 Linux installation _ How to install tensorflow 2 object detection API.mp4 57.1 MB
[TutsNode.com] - Deep learning for image segmentation using Tensorflow 2/07 Train and evaluate Mask RCNN model using google AI platform/006 Preparing our config file for training on google cloud.mp4 53.2 MB
[TutsNode.com] - Deep learning for image segmentation using Tensorflow 2/07 Train and evaluate Mask RCNN model using google AI platform/003 Downloading Google Cloud SDK.mp4 53.1 MB
[TutsNode.com] - Deep learning for image segmentation using Tensorflow 2/07 Train and evaluate Mask RCNN model using google AI platform/011 Running the evaluation for Mask RCNN model during the training.mp4 48.7 MB
[TutsNode.com] - Deep learning for image segmentation using Tensorflow 2/05 Custom data preparation/003 Linux - Exploring the dataset - Part 2.mp4 46.4 MB
[TutsNode.com] - Deep learning for image segmentation using Tensorflow 2/07 Train and evaluate Mask RCNN model using google AI platform/005 Creating a google bucket and uploading data to it.mp4 42.9 MB
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- 【影视】 Detecting Data Anomalies using Deep Learning Techniques with TensorFlow (Andrei Pruteanu, 2021)
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收录时间:2024-06-04
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磁力链接
5. Detection Algorithms/3. Demo - Deep-Learning Approaches Part 1.mp4 29.7 MB
5. Detection Algorithms/4. Demo - Deep-Learning Approaches Part 2.mp4 26.4 MB
6. Mitigation Techniques/1. Techniques and Metrics.mp4 17.3 MB
5. Detection Algorithms/1. Demo - Statistical Approaches Part 1.mp4 16.8 MB
4. Definition and Anomaly Types/1. Taxonomy.mp4 14.8 MB
4. Definition and Anomaly Types/2. Real Data.mp4 13.5 MB
5. Detection Algorithms/2. Demo - Statistical Approaches Part 2.mp4 12.8 MB
3. Exploratory Data Analysis/3. Demo - EDA Part 2.mp4 11.6 MB
2. Introduction/2. Summary.mp4 8.9 MB
3. Exploratory Data Analysis/2. Demo - EDA Part 1.mp4 8.6 MB
2. Introduction/3. Statistical Methods.mp4 7.3 MB
3. Exploratory Data Analysis/1. Finding a Dataset.mp4 4.4 MB
1. Course Overview/1. Course Overview.mp4 4.0 MB
2. Introduction/4. Prerequisites.mp4 3.9 MB
2. Introduction/1. Introduction.mp4 3.4 MB
exercise.7z 1.9 MB
5. Detection Algorithms/3. Demo - Deep-Learning Approaches Part 1.vtt 14.0 kB
5. Detection Algorithms/4. Demo - Deep-Learning Approaches Part 2.vtt 13.8 kB
6. Mitigation Techniques/1. Techniques and Metrics.vtt 11.2 kB
5. Detection Algorithms/1. Demo - Statistical Approaches Part 1.vtt 8.9 kB
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收录时间:2018-07-22
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磁力链接
video4_4.mp4 16.9 MB
video1_1.mp4 7.7 MB
video1_2.mp4 14.1 MB
video1_3.mp4 8.1 MB
video1_4.mp4 5.7 MB
video1_5.mp4 11.3 MB
video2_1.mp4 8.8 MB
video2_2.mp4 9.7 MB
video2_3.mp4 8.9 MB
video2_4.mp4 6.7 MB
video3_1.mp4 6.4 MB
video3_2.mp4 4.4 MB
video3_3.mp4 11.2 MB
video3_4.mp4 6.9 MB
video3_5.mp4 7.8 MB
video3_6.mp4 9.7 MB
video3_7.mp4 5.1 MB
video3_8.mp4 15.6 MB
video4_1.mp4 7.5 MB
video4_2.mp4 8.0 MB
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收录时间:2021-03-08
文档个数:107
文档大小:2.9 GB
最近下载:2025-05-16
人气:2841
磁力链接
11. Saving and Restoring Models/1. Saving - Restoring Models and Using Callbacks.mp4 226.7 MB
9. R - Building and training the Model/1. Building, Compiling and Training.mp4 137.1 MB
4. Neural Networks - Stacking cells to create network/3. Back Propagation.mp4 128.1 MB
8. R - Dataset for classification problem/1. Data Normalization and Test-Train Split.mp4 117.2 MB
19. Transfer Learning in R/1. Project - Transfer Learning - VGG16 (Implementation).mp4 106.5 MB
9. R - Building and training the Model/2. Evaluating and Predicting.mp4 104.0 MB
2. Setting Up R Studio and R crash course/7. Creating Barplots in R.mp4 101.4 MB
16. Project Creating CNN model from scratch/3. Project in R - Data Preprocessing.mp4 92.0 MB
10. The NeuralNets Package/1. ANN with NeuralNets Package.mp4 88.5 MB
2. Setting Up R Studio and R crash course/3. Packages in R.mp4 87.0 MB
14. Creating CNN model in R/3. Creating Model Architecture.mp4 75.1 MB
14. Creating CNN model in R/5. Model Performance.mp4 71.4 MB
13. CNN - Basics/5. Channels.mp4 71.1 MB
14. Creating CNN model in R/2. Data Preprocessing.mp4 70.3 MB
19. Transfer Learning in R/2. Project - Transfer Learning - VGG16 (Performance).mp4 67.3 MB
5. Important concepts Common Interview questions/1. Some Important Concepts.mp4 65.2 MB
12. Hyperparameter Tuning/1. Hyperparameter Tuning.mp4 63.6 MB
4. Neural Networks - Stacking cells to create network/2. Gradient Descent.mp4 63.3 MB
2. Setting Up R Studio and R crash course/6. Inputting data part 3 Importing from CSV or Text files.mp4 63.0 MB
17. Project Data Augmentation for avoiding overfitting/1. Project in R - Data Augmentation.mp4 59.1 MB
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收录时间:2021-03-18
文档个数:109
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最近下载:2025-05-16
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磁力链接
[TutsNode.com] - Convolutional Neural Networks with TensorFlow in Python/07 Tensorboard_ Visualization tool for TensorFlow/027 Confusion matrix and visualizing it with Tensorboard.mp4 114.8 MB
[TutsNode.com] - Convolutional Neural Networks with TensorFlow in Python/06 CNN assembling - MNIST/024 Building and training the CNN.mp4 91.8 MB
[TutsNode.com] - Convolutional Neural Networks with TensorFlow in Python/09 A practical project_ Labelling fashion items/042 Trousers and Jeans - All.mp4 89.7 MB
[TutsNode.com] - Convolutional Neural Networks with TensorFlow in Python/07 Tensorboard_ Visualization tool for TensorFlow/026 Tensorboard on the MNIST example.mp4 87.7 MB
[TutsNode.com] - Convolutional Neural Networks with TensorFlow in Python/07 Tensorboard_ Visualization tool for TensorFlow/028 Using Tensorboard to tune hyperparameters.mp4 86.9 MB
[TutsNode.com] - Convolutional Neural Networks with TensorFlow in Python/09 A practical project_ Labelling fashion items/045 L2 regularization and Dropout.mp4 85.4 MB
[TutsNode.com] - Convolutional Neural Networks with TensorFlow in Python/10 Understanding CNNs/047 Unexpected failures.mp4 76.4 MB
[TutsNode.com] - Convolutional Neural Networks with TensorFlow in Python/11 Popular CNN architectures/051 GoogleNet - computational efficiency.mp4 74.8 MB
[TutsNode.com] - Convolutional Neural Networks with TensorFlow in Python/06 CNN assembling - MNIST/022 A simple CNN architecture.mp4 73.0 MB
[TutsNode.com] - Convolutional Neural Networks with TensorFlow in Python/03 CNN Introduction/009 Feature maps.mp4 70.9 MB
[TutsNode.com] - Convolutional Neural Networks with TensorFlow in Python/06 CNN assembling - MNIST/023 Preprocessing the data.mp4 65.1 MB
[TutsNode.com] - Convolutional Neural Networks with TensorFlow in Python/03 CNN Introduction/008 CNNs motivation.mp4 64.3 MB
[TutsNode.com] - Convolutional Neural Networks with TensorFlow in Python/09 A practical project_ Labelling fashion items/039 Primary classification task - Part 2.mp4 63.5 MB
[TutsNode.com] - Convolutional Neural Networks with TensorFlow in Python/03 CNN Introduction/010 Pooling and Stride.mp4 60.7 MB
[TutsNode.com] - Convolutional Neural Networks with TensorFlow in Python/01 Introduction to the course/001 What does the course cover_.mp4 60.7 MB
[TutsNode.com] - Convolutional Neural Networks with TensorFlow in Python/09 A practical project_ Labelling fashion items/041 Trousers and Jeans - discussion of approaches.mp4 56.1 MB
[TutsNode.com] - Convolutional Neural Networks with TensorFlow in Python/02 Kernels/004 How do image transformations work_.mp4 55.3 MB
[TutsNode.com] - Convolutional Neural Networks with TensorFlow in Python/11 Popular CNN architectures/052 ResNet - revolution of depth.mp4 52.2 MB
[TutsNode.com] - Convolutional Neural Networks with TensorFlow in Python/09 A practical project_ Labelling fashion items/035 The objective and the images.mp4 49.4 MB
[TutsNode.com] - Convolutional Neural Networks with TensorFlow in Python/06 CNN assembling - MNIST/025 Testing the trained CNN.mp4 47.3 MB
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- 【影视】 Tensorflow lite for Flutter Smart Mobile app development
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收录时间:2021-04-12
文档个数:159
文档大小:2.2 GB
最近下载:2025-05-16
人气:2816
磁力链接
[TutsNode.com] - Tensorflow lite for Flutter Smart Mobile app development/5. Object Detection in Flutter using Yolo and SSD MobileNet model/3. Flutter Object detection code.mp4 141.4 MB
[TutsNode.com] - Tensorflow lite for Flutter Smart Mobile app development/2. Camera and Image Picker Package/1. Flutter Image Picker Library.mp4 132.4 MB
[TutsNode.com] - Tensorflow lite for Flutter Smart Mobile app development/9. Fuel Efficiency Predictor Regression Application/3. Fuel Efficiency Prediction Flutter Application.mp4 116.0 MB
[TutsNode.com] - Tensorflow lite for Flutter Smart Mobile app development/4. Image Classification in Flutter using MobileNet Model/4. Writing flutter image classification code.mp4 115.2 MB
[TutsNode.com] - Tensorflow lite for Flutter Smart Mobile app development/4. Image Classification in Flutter using MobileNet Model/8. Writing Flutter Image classification code.mp4 103.5 MB
[TutsNode.com] - Tensorflow lite for Flutter Smart Mobile app development/6. Pose Estimation in Flutter using PoseNet model/3. Flutter Pose estimation code.mp4 100.3 MB
[TutsNode.com] - Tensorflow lite for Flutter Smart Mobile app development/7. Image Segmentation in Flutter using Deeplab model/3. Flutter using DeepLab model for image segmentation.mp4 90.8 MB
[TutsNode.com] - Tensorflow lite for Flutter Smart Mobile app development/8. Regression in Flutter/5. Adding the model in Flutter Application and testing.mp4 89.3 MB
[TutsNode.com] - Tensorflow lite for Flutter Smart Mobile app development/5. Object Detection in Flutter using Yolo and SSD MobileNet model/7. Flutter Live feed object detection application code.mp4 89.1 MB
[TutsNode.com] - Tensorflow lite for Flutter Smart Mobile app development/2. Camera and Image Picker Package/4. Flutter writing camera package code.mp4 77.6 MB
[TutsNode.com] - Tensorflow lite for Flutter Smart Mobile app development/12. Fruit Recognition in Flutter using Transfer Learning/3. Flutter Training fruit recognition model.mp4 72.1 MB
[TutsNode.com] - Tensorflow lite for Flutter Smart Mobile app development/6. Pose Estimation in Flutter using PoseNet model/6. Using PoseNet model for Flutter Live feed pose estimation application.mp4 67.3 MB
[TutsNode.com] - Tensorflow lite for Flutter Smart Mobile app development/4. Image Classification in Flutter using MobileNet Model/7. Starter code explanation of Flutter Live feed Image classification application.mp4 63.5 MB
[TutsNode.com] - Tensorflow lite for Flutter Smart Mobile app development/11. Dog Breed Recognition model and Application in Flutter/3. Flutter Dog Breed Classification Application.mp4 53.5 MB
[TutsNode.com] - Tensorflow lite for Flutter Smart Mobile app development/4. Image Classification in Flutter using MobileNet Model/3. Starter code explanation for Flutter Image classification.mp4 52.8 MB
[TutsNode.com] - Tensorflow lite for Flutter Smart Mobile app development/11. Dog Breed Recognition model and Application in Flutter/2. Flutter Training the model.mp4 52.7 MB
[TutsNode.com] - Tensorflow lite for Flutter Smart Mobile app development/5. Object Detection in Flutter using Yolo and SSD MobileNet model/2. Importing Application code object detection flutter.mp4 48.4 MB
[TutsNode.com] - Tensorflow lite for Flutter Smart Mobile app development/6. Pose Estimation in Flutter using PoseNet model/2. Importing Flutter Pose estimation Application code.mp4 39.2 MB
[TutsNode.com] - Tensorflow lite for Flutter Smart Mobile app development/11. Dog Breed Recognition model and Application in Flutter/1. Flutter Getting the dataset for model training.mp4 37.4 MB
[TutsNode.com] - Tensorflow lite for Flutter Smart Mobile app development/5. Object Detection in Flutter using Yolo and SSD MobileNet model/4. Flutter Drawing Rectangles around detected objects.mp4 36.2 MB
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收录时间:2021-05-18
文档个数:247
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最近下载:2025-05-16
人气:2698
磁力链接
18. Setting up your Environment/2. Windows-Focused Environment Setup 2018.mp4 203.4 MB
18. Setting up your Environment/3. Installing NVIDIA GPU-Accelerated Deep Learning Libraries on your Home Computer.mp4 175.4 MB
18. Setting up your Environment/1. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 174.8 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/12. Demo of the Long Distance Problem.mp4 150.1 MB
13. Advanced Tensorflow Usage/2. Tensorflow Serving pt 2.mp4 130.5 MB
19. Appendix FAQ/9. What order should I take your courses in (part 2).mp4 128.6 MB
19. Appendix FAQ/2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 122.8 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/1. Sequence Data.mp4 108.2 MB
11. Deep Reinforcement Learning (Theory)/2. Elements of a Reinforcement Learning Problem.mp4 102.5 MB
4. Feedforward Artificial Neural Networks/4. Activation Functions.mp4 96.6 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/5. Recurrent Neural Networks.mp4 96.5 MB
5. Convolutional Neural Networks/5. CNN Architecture.mp4 95.4 MB
2. Google Colab/3. Uploading your own data to Google Colab.mp4 93.4 MB
19. Appendix FAQ/8. What order should I take your courses in (part 1).mp4 92.4 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/3. Autoregressive Linear Model for Time Series Prediction.mp4 91.9 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/7. RNN for Time Series Prediction.mp4 91.5 MB
10. GANs (Generative Adversarial Networks)/1. GAN Theory.mp4 90.7 MB
5. Convolutional Neural Networks/11. Improving CIFAR-10 Results.mp4 90.5 MB
5. Convolutional Neural Networks/6. CNN Code Preparation.mp4 90.5 MB
4. Feedforward Artificial Neural Networks/9. ANN for Regression.mp4 88.0 MB
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