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- 【影视】 Deep Learning - Artificial Neural Networks with Tensorflow
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Chapter 3 Feedforward Artificial Neural Networks/004. Activation Functions.mp4 64.7 MB
Chapter 3 Feedforward Artificial Neural Networks/009. ANN for Regression.mp4 58.7 MB
Chapter 2 Machine Learning and Neurons/001. What Is Machine Learning.mp4 56.1 MB
Chapter 3 Feedforward Artificial Neural Networks/006. How to Represent Images.mp4 52.0 MB
Chapter 2 Machine Learning and Neurons/002. Code Preparation (Classification Theory).mp4 50.7 MB
Chapter 2 Machine Learning and Neurons/005. Regression Notebook.mp4 50.0 MB
Chapter 2 Machine Learning and Neurons/003. Classification Notebook.mp4 46.9 MB
Chapter 3 Feedforward Artificial Neural Networks/007. Code Preparation (Artificial Neural Networks).mp4 44.2 MB
Chapter 5 In-Depth Gradient Descent/005. Adam Optimization (Part 1).mp4 44.1 MB
Chapter 5 In-Depth Gradient Descent/006. Adam Optimization (Part 2).mp4 42.4 MB
Chapter 3 Feedforward Artificial Neural Networks/008. ANN for Image Classification.mp4 42.1 MB
Chapter 3 Feedforward Artificial Neural Networks/003. The Geometrical Picture.mp4 41.3 MB
Chapter 2 Machine Learning and Neurons/007. How Does a Model Learn .mp4 40.4 MB
Chapter 2 Machine Learning and Neurons/006. The Neuron.mp4 35.7 MB
Chapter 3 Feedforward Artificial Neural Networks/005. Multiclass Classification.mp4 35.6 MB
Chapter 3 Feedforward Artificial Neural Networks/002. Forward Propagation.mp4 35.4 MB
Chapter 5 In-Depth Gradient Descent/004. Variable and Adaptive Learning Rates.mp4 34.2 MB
Chapter 4 In-Depth Loss Functions/001. Mean Squared Error.mp4 31.8 MB
Chapter 2 Machine Learning and Neurons/008. Making Predictions.mp4 31.2 MB
Chapter 5 In-Depth Gradient Descent/003. Momentum.mp4 30.2 MB
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- 【压缩文件】 Master Deep Learning with TensorFlow in Python
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Master Deep Learning with TensorFlow in Python.zip 1.4 GB
Download more courses.url 123 Bytes
Downloaded from TutsGalaxy.com.txt 73 Bytes
TutsGalaxy.com.txt 52 Bytes
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- 【压缩文件】 [ FreeCourseWeb.com ] Complete Tensorflow Lite course for Android App Development (Updated 6 - 2020).zip
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收录时间:2021-04-11
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[ FreeCourseWeb.com ] Complete Tensorflow Lite course for Android App Development (Updated 6 - 2020).zip 2.5 GB
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- 【影视】 GetFreeCourses.Co-Udemy-TensorFlow Hub Deep Learning, Computer Vision and NLP
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3. Natural language processing/6. Q&A and information retrieval 2.mp4 162.5 MB
2. Computer vision/5. Image classification 4.mp4 114.3 MB
2. Computer vision/7. Object detection 1.mp4 109.9 MB
2. Computer vision/2. Image classification 1.mp4 107.9 MB
2. Computer vision/14. Image extension using GAN 2.mp4 99.0 MB
3. Natural language processing/8. Q&A and information retrieval 4.mp4 96.5 MB
2. Computer vision/17. Action recognition 3.mp4 95.5 MB
3. Natural language processing/9. Q&A and information retrieval 5.mp4 92.7 MB
2. Computer vision/9. Object detection 3.mp4 90.5 MB
2. Computer vision/6. Image classification 5.mp4 89.9 MB
3. Natural language processing/3. Text classification 2.mp4 87.7 MB
2. Computer vision/15. Action recognition 1.mp4 85.5 MB
3. Natural language processing/7. Q&A and information retrieval 3.mp4 84.3 MB
1. Introduction/1. Course content.mp4 83.2 MB
2. Computer vision/18. Action recognition 4.mp4 79.1 MB
2. Computer vision/3. Image classification 2.mp4 71.6 MB
2. Computer vision/4. Image classification 3.mp4 68.4 MB
3. Natural language processing/10. Audio classification 1.mp4 68.2 MB
4. Extra content 1 Artificial neural networks/8. Bias, error, stochastic gradient descent, and more parameters.mp4 66.5 MB
2. Computer vision/11. Style transfer 2.mp4 65.5 MB
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- 【压缩文件】 [FreeCourseSite.com] Udemy - TensorFlow Developer Certificate in 2023 Zero to Mastery
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[FreeCourseSite.com] Udemy - TensorFlow Developer Certificate in 2023 Zero to Mastery.part1.rar 8.6 GB
[FreeCourseSite.com] Udemy - TensorFlow Developer Certificate in 2023 Zero to Mastery.part2.rar 8.6 GB
[FreeCourseSite.com] Udemy - TensorFlow Developer Certificate in 2023 Zero to Mastery.part3.rar 8.6 GB
[FreeCourseSite.com] Udemy - TensorFlow Developer Certificate in 2023 Zero to Mastery.part4.rar 6.8 GB
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- 【影视】 [FreeCoursesOnline.Me] PacktPub - Master Deep Learning with TensorFlow 2.0 in Python [2019] [Video]
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01.Welcome! Course introduction/0101.Meet your instructors and why you should study machine learning.mp4 88.9 MB
06.Going deeper Introduction to deep neural networks/0603.Understanding deep nets in depth.mp4 61.0 MB
02.Introduction to neural networks/0212.N-parameter gradient descent.mp4 60.4 MB
02.Introduction to neural networks/0211.One parameter gradient descent.mp4 59.1 MB
06.Going deeper Introduction to deep neural networks/0607.Backpropagation.mp4 55.3 MB
03.Setting up the working environment/0306.Installing TensorFlow 2.mp4 53.7 MB
02.Introduction to neural networks/0201.Introduction to neural networks.mp4 48.0 MB
12.Business case/1204.Preprocessing the data.mp4 46.7 MB
02.Introduction to neural networks/0206.The linear model. Multiple inputs and multiple outputs.mp4 44.3 MB
05.TensorFlow - An introduction/0501.TensorFlow outline.mp4 44.0 MB
02.Introduction to neural networks/0203.Types of machine learning.mp4 42.8 MB
10.Preprocessing/1003.Standardization.mp4 42.3 MB
13.Conclusion/1305.An overview of non-NN approaches.mp4 42.1 MB
01.Welcome! Course introduction/0102.What does the course cover.mp4 41.0 MB
13.Conclusion/1301.See how much you have learned.mp4 40.8 MB
06.Going deeper Introduction to deep neural networks/0604.Why do we need non-linearities.mp4 39.8 MB
06.Going deeper Introduction to deep neural networks/0605.Activation functions.mp4 39.8 MB
05.TensorFlow - An introduction/0502.TensorFlow 2 intro.mp4 39.7 MB
07.Overfitting/0703.Training and validation.mp4 39.3 MB
09.Gradient descent and learning rates/0904.Learning rate schedules.mp4 38.9 MB
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- 【影视】 [ CourseWikia.com ] PluralSight - TensorFlow Developer Certificate - Time Series, Sequences, and Predictions
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收录时间:2023-12-18
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~Get Your Files Here !/2. Understanding and Preparing Time Series Data/7. Demo - Techniques for Identifying and Reducing Sequenc.mp4 15.0 MB
~Get Your Files Here !/4. Implementing Advanced Techniques for Time Series Analysis/5. Demo - Predictive Modelling with TensorFl.mp4 14.8 MB
~Get Your Files Here !/3. Training and Evaluating Time Series Models/4. Demo - Implementing Model Training and Evaluation.mp4 12.5 MB
~Get Your Files Here !/2. Understanding and Preparing Time Series Data/5. Demo - Time Series Data Preparation.mp4 12.1 MB
~Get Your Files Here !/2. Understanding and Preparing Time Series Data/2. Defining Time Series and Sequences.mp4 12.0 MB
~Get Your Files Here !/3. Training and Evaluating Time Series Models/8. Demo - Implementing a CNN for Time Series Prediction.mp4 10.4 MB
~Get Your Files Here !/2. Understanding and Preparing Time Series Data/3. Demo - Time Series Visualization.mp4 9.5 MB
~Get Your Files Here !/3. Training and Evaluating Time Series Models/6. Demo - Building an RNN for Time Series Prediction.mp4 9.1 MB
~Get Your Files Here !/4. Implementing Advanced Techniques for Time Series Analysis/3. Demo - Comparing Trailing Windows.mp4 8.9 MB
~Get Your Files Here !/2. Understanding and Preparing Time Series Data/1. Intended Outcome and Prerequisites.mp4 6.0 MB
~Get Your Files Here !/3. Training and Evaluating Time Series Models/3. Techniques for Model Training and Hyperparameter Tuning.mp4 5.9 MB
~Get Your Files Here !/2. Understanding and Preparing Time Series Data/4. Data Preparation Techniques for Time Series Learning.mp4 5.9 MB
~Get Your Files Here !/3. Training and Evaluating Time Series Models/1. Overview of Error Metrics.mp4 5.9 MB
~Get Your Files Here !/4. Implementing Advanced Techniques for Time Series Analysis/6. Advanced Forecasting Techniques with Tens.mp4 5.5 MB
~Get Your Files Here !/3. Training and Evaluating Time Series Models/7. Implementing Convolutional Neural Networks (CNNs).mp4 5.4 MB
~Get Your Files Here !/4. Implementing Advanced Techniques for Time Series Analysis/1. Understanding Data Windowing in Time Seri.mp4 5.3 MB
~Get Your Files Here !/1. Course Overview/1. Course Overview.mp4 5.1 MB
~Get Your Files Here !/3. Training and Evaluating Time Series Models/5. Implementing Recurrent Neural Networks (RNNs).mp4 4.9 MB
~Get Your Files Here !/2. Understanding and Preparing Time Series Data/6. Addressing Sequence Bias in Time Series Analysis.mp4 4.7 MB
~Get Your Files Here !/4. Implementing Advanced Techniques for Time Series Analysis/4. Leveraging TensorFlow for Forecasting.mp4 3.9 MB
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- 【压缩文件】 Deep Learning for Computer Vision with TensorFlow 2
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收录时间:2022-03-02
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[TutsNode.com] - Deep Learning for Computer Vision with TensorFlow 2/1. Installation and Setup/4.1 CV-TF1.X-2.X.zip 522.3 MB
[TutsNode.com] - Deep Learning for Computer Vision with TensorFlow 2/5. Object Detection/16.1 cudnn-10.0-linux-x64-v7.5.0.56.tgz 432.8 MB
[TutsNode.com] - Deep Learning for Computer Vision with TensorFlow 2/5. Object Detection/20.3 yolov4.zip 239.6 MB
[TutsNode.com] - Deep Learning for Computer Vision with TensorFlow 2/5. Object Detection/20. Train your custom dataset with Yolov4 in Google Colab.mp4 190.1 MB
[TutsNode.com] - Deep Learning for Computer Vision with TensorFlow 2/5. Object Detection/14.4 yolov2_weights.zip 189.3 MB
[TutsNode.com] - Deep Learning for Computer Vision with TensorFlow 2/5. Object Detection/12.4 yolo.zip 189.3 MB
[TutsNode.com] - Deep Learning for Computer Vision with TensorFlow 2/5. Object Detection/9. Train Blood Cells Dataset in TensorFlow Object Detection part2.mp4 185.0 MB
[TutsNode.com] - Deep Learning for Computer Vision with TensorFlow 2/5. Object Detection/7. TensorFlow2 Object Detection API on images and videos.mp4 176.8 MB
[TutsNode.com] - Deep Learning for Computer Vision with TensorFlow 2/4. Creating an Image Datasets/3. Open Images Dataset V6 and Voxel FiftyOne.mp4 175.0 MB
[TutsNode.com] - Deep Learning for Computer Vision with TensorFlow 2/5. Object Detection/10. The YOLO (You only look once) Model.mp4 168.9 MB
[TutsNode.com] - Deep Learning for Computer Vision with TensorFlow 2/4. Creating an Image Datasets/2. Scraping images with Selenium.mp4 168.2 MB
[TutsNode.com] - Deep Learning for Computer Vision with TensorFlow 2/5. Object Detection/6. SSD (Single Shot Detector).mp4 168.0 MB
[TutsNode.com] - Deep Learning for Computer Vision with TensorFlow 2/5. Object Detection/12. Running YOLO v2 on images.mp4 167.6 MB
[TutsNode.com] - Deep Learning for Computer Vision with TensorFlow 2/3. Convolutional Neural Networks/15.1 covid19.zip 164.9 MB
[TutsNode.com] - Deep Learning for Computer Vision with TensorFlow 2/5. Object Detection/20.2 yolov4.conv.137.zip 158.0 MB
[TutsNode.com] - Deep Learning for Computer Vision with TensorFlow 2/5. Object Detection/16.2 darknet53.conv.74.zip 151.1 MB
[TutsNode.com] - Deep Learning for Computer Vision with TensorFlow 2/5. Object Detection/13. YOLOv2 on video and webcam.mp4 149.8 MB
[TutsNode.com] - Deep Learning for Computer Vision with TensorFlow 2/5. Object Detection/16. Train your own dataset in Yolov3-Colab-Part 1.mp4 145.4 MB
[TutsNode.com] - Deep Learning for Computer Vision with TensorFlow 2/4. Creating an Image Datasets/4. Roboflow.mp4 143.4 MB
[TutsNode.com] - Deep Learning for Computer Vision with TensorFlow 2/3. Convolutional Neural Networks/20. Inception Module with TensorFlow.mp4 141.8 MB
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- 【影视】 [FreeCourseSite.com] Udemy - A Complete Guide on TensorFlow 2.0 using Keras API
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磁力链接
01 - Introduction/001 Welcome to the TensorFlow 2.0 course! Discover its structure and the TF toolkit.mp4 153.4 MB
02 - TensorFlow 2.0 Basics/001 From TensorFlow 1.x to TensorFlow 2.0.mp4 120.4 MB
17 - Annex 3 - Recurrent Neural Networks Theory/005 LSTM Practical Intuition.mp4 112.7 MB
17 - Annex 3 - Recurrent Neural Networks Theory/004 LSTMs.mp4 93.2 MB
16 - Annex 2 - Convolutional Neural Networks Theory/005 Step 2 - Max Pooling.mp4 91.7 MB
17 - Annex 3 - Recurrent Neural Networks Theory/003 Vanishing Gradient.mp4 90.4 MB
16 - Annex 2 - Convolutional Neural Networks Theory/002 What are Convolutional Neural Networks.mp4 74.5 MB
16 - Annex 2 - Convolutional Neural Networks Theory/003 Step 1 - Convolution.mp4 68.8 MB
10 - Dataset Preprocessing with TensorFlow Transform (TFT)/005 Dataset preprocessing pipeline.mp4 62.7 MB
16 - Annex 2 - Convolutional Neural Networks Theory/007 Step 4 - Full Connection.mp4 61.4 MB
17 - Annex 3 - Recurrent Neural Networks Theory/002 What are Recurrent Neural Networks.mp4 60.3 MB
04 - Convolutional Neural Networks/002 Building the Convolutional Neural Network.mp4 59.3 MB
07 - Deep Reinforcement Learning Theory/009 Action Selection Policies.mp4 57.0 MB
16 - Annex 2 - Convolutional Neural Networks Theory/009 Softmax & Cross-Entropy.mp4 53.9 MB
07 - Deep Reinforcement Learning Theory/002 The Bellman Equation.mp4 50.6 MB
06 - Transfer Learning and Fine Tuning/001 What is Transfer Learning.mp4 48.7 MB
06 - Transfer Learning and Fine Tuning/002 Project Setup.mp4 46.6 MB
15 - Annex 1 - Artificial Neural Networks Theory/002 The Neuron.mp4 45.8 MB
15 - Annex 1 - Artificial Neural Networks Theory/005 How do Neural Networks Learn.mp4 45.4 MB
07 - Deep Reinforcement Learning Theory/003 Markov Decision Process (MDP).mp4 44.4 MB
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- 【影视】 [ DevCourseWeb.com ] Udemy - Machine Deep Learning for Biology with Python and Tensorflow
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收录时间:2024-02-01
文档个数:278
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~Get Your Files Here !/1. Chapter 1/18. 14. Classes And Objects.mp4 234.1 MB
~Get Your Files Here !/1. Chapter 1/15. 11. Loops.mp4 175.2 MB
~Get Your Files Here !/1. Chapter 1/7. 03. Operators.mp4 169.3 MB
~Get Your Files Here !/1. Chapter 1/19. 15. Inheritance Examples.mp4 137.0 MB
~Get Your Files Here !/1. Chapter 1/14. 10. If Statement Examples.mp4 123.8 MB
~Get Your Files Here !/4. 07 Data analysis and transformation on blood cell data/3. 02 Clean Data With Missing Values.mp4 123.2 MB
~Get Your Files Here !/1. Chapter 1/9. 05. List Examples.mp4 115.1 MB
~Get Your Files Here !/1. Chapter 1/5. 01. Variables.mp4 111.6 MB
~Get Your Files Here !/10. 13 Prepare heart disease data for machine learning/2. 02 Clean And Preprocess Heart Disease Data For Machine Learning.mp4 109.1 MB
~Get Your Files Here !/3. 06 Build Regression Machine Learning Models to Detect Diabetes/3. 04 Select Top Features Via Variance Threshold.mp4 108.0 MB
~Get Your Files Here !/1. Chapter 1/11. 07. Dictionaries Examples.mp4 91.5 MB
~Get Your Files Here !/1. Chapter 1/16. 12. Functions.mp4 90.6 MB
~Get Your Files Here !/1. Chapter 1/27. 02 What Is Regression.mp4 87.8 MB
~Get Your Files Here !/10. 13 Prepare heart disease data for machine learning/1. 01 Load Data Via Data File.mp4 87.1 MB
~Get Your Files Here !/2. 05 Build a K Nearest neighbors regression model to predict diabetes/2. 01 Load And Analyze Data.mp4 84.3 MB
~Get Your Files Here !/1. Chapter 1/20. 16. Static Members Examples.mp4 82.4 MB
~Get Your Files Here !/1. Chapter 1/17. 13. Parameters And Return Values Examples.mp4 82.3 MB
~Get Your Files Here !/2. 05 Build a K Nearest neighbors regression model to predict diabetes/4. 02 Build A K Nearest Neighbors Regression Model To Predict Diabetes.mp4 81.3 MB
~Get Your Files Here !/4. 07 Data analysis and transformation on blood cell data/2. 01 Load And Analyze Blood Cell Data.mp4 78.6 MB
~Get Your Files Here !/13. 16 Build a neural network to find malaria in cells/6. 05 Train And Evaluate Model Accuracy.mp4 76.6 MB
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- 【影视】 [ FreeCourseWeb.com ] Tensorflow with Python - Udemy
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收录时间:2022-02-06
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~Get Your Files Here !/02 Installation/001 Installation of Tensorflow.mp4 95.4 MB
~Get Your Files Here !/02 Installation/002 Basic Data Types for Tensorflow.mp4 65.4 MB
~Get Your Files Here !/03 Implementing Linear Model/003 Optimization of Variable.mp4 62.8 MB
~Get Your Files Here !/04 Addition and Random Number Calculation/002 Naming the Variable.mp4 62.5 MB
~Get Your Files Here !/03 Implementing Linear Model/004 Implementing the Constructor Variable.mp4 62.3 MB
~Get Your Files Here !/01 Introduction/001 Introduction to Tensorflow with Python.mp4 61.1 MB
~Get Your Files Here !/03 Implementing Linear Model/002 Creating a Python File.mp4 50.5 MB
~Get Your Files Here !/04 Addition and Random Number Calculation/001 Printing the Variable Result.mp4 30.9 MB
~Get Your Files Here !/03 Implementing Linear Model/001 Implementing Simple Linear Model.mp4 29.1 MB
~Get Your Files Here !/03 Implementing Linear Model/004 Implementing the Constructor Variable.mp4.vtx 545.8 kB
~Get Your Files Here !/01 Introduction/001 Introduction to Tensorflow with Python.en.srt 15.7 kB
~Get Your Files Here !/02 Installation/001 Installation of Tensorflow.en.srt 15.2 kB
~Get Your Files Here !/02 Installation/002 Basic Data Types for Tensorflow.en.srt 15.0 kB
~Get Your Files Here !/03 Implementing Linear Model/003 Optimization of Variable.en.srt 11.8 kB
~Get Your Files Here !/03 Implementing Linear Model/004 Implementing the Constructor Variable.en.srt 11.0 kB
~Get Your Files Here !/03 Implementing Linear Model/002 Creating a Python File.en.srt 9.2 kB
~Get Your Files Here !/04 Addition and Random Number Calculation/002 Naming the Variable.en.srt 9.1 kB
~Get Your Files Here !/03 Implementing Linear Model/001 Implementing Simple Linear Model.en.srt 8.1 kB
~Get Your Files Here !/04 Addition and Random Number Calculation/001 Printing the Variable Result.en.srt 5.9 kB
~Get Your Files Here !/Bonus Resources.txt 357 Bytes
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- 【影视】 [GigaCourse.Com] Udemy - TensorFlow Developer Certificate in 2021 Zero to Mastery
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10 NLP Fundamentals in TensorFlow/016 Visualising our model's learned word embeddings with TensorFlow's projector tool.mp4 296.9 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 262.6 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 248.9 MB
11 Milestone Project 2_ SkimLit/006 Writing a preprocessing function to structure our data for modelling.mp4 228.6 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 226.8 MB
10 NLP Fundamentals in TensorFlow/015 Model 1_ Building, fitting and evaluating our first deep model on text data.mp4 217.9 MB
10 NLP Fundamentals in TensorFlow/009 Setting up a TensorFlow TextVectorization layer to convert text to numbers.mp4 209.8 MB
07 Transfer Learning in TensorFlow Part 2_ Fine tuning/018 Preparing Model 3 (our first fine-tuned model).mp4 207.9 MB
11 Milestone Project 2_ SkimLit/017 Creating a character-level tokeniser with TensorFlow's TextVectorization layer.mp4 206.9 MB
03 Neural network regression with TensorFlow/011 Evaluating a TensorFlow model part 3 (getting a model summary).mp4 202.4 MB
05 Computer Vision and Convolutional Neural Networks in TensorFlow/015 Breaking our CNN model down part 5_ Looking inside a Conv2D layer.mp4 195.0 MB
10 NLP Fundamentals in TensorFlow/021 Discussing the intuition behind Conv1D neural networks for text and sequences.mp4 193.3 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 191.9 MB
12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/051 Model 8_ Making and evaluating predictions with our ensemble model.mp4 191.0 MB
03 Neural network regression with TensorFlow/005 The major steps in modelling with TensorFlow.mp4 190.7 MB
11 Milestone Project 2_ SkimLit/021 Model 4_ Building a multi-input model (hybrid token + character embeddings).mp4 190.4 MB
12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/050 Model 8_ Building, compiling and fitting an ensemble of models.mp4 188.8 MB
07 Transfer Learning in TensorFlow Part 2_ Fine tuning/003 Downloading and turning our images into a TensorFlow BatchDataset.mp4 181.7 MB
08 Transfer Learning with TensorFlow Part 3_ Scaling Up/018 Making predictions on our test images and evaluating them.mp4 180.0 MB
11 Milestone Project 2_ SkimLit/014 Model 1_ Building, fitting and evaluating a Conv1D with token embeddings.mp4 176.5 MB
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10 - NLP Fundamentals in TensorFlow/016 Visualising our model's learned word embeddings with TensorFlow's projector tool.mp4 300.8 MB
10 - NLP Fundamentals in TensorFlow/015 Model 1 Building, fitting and evaluating our first deep model on text data.mp4 215.3 MB
10 - NLP Fundamentals in TensorFlow/009 Setting up a TensorFlow TextVectorization layer to convert text to numbers.mp4 209.5 MB
07 - Transfer Learning in TensorFlow Part 2 Fine tuning/019 Preparing Model 3 (our first fine-tuned model).mp4 203.4 MB
03 - Neural network regression with TensorFlow/012 Evaluating a TensorFlow model part 3 (getting a model summary).mp4 201.9 MB
11 - Milestone Project 2 SkimLit/017 Creating a character-level tokeniser with TensorFlow's TextVectorization layer.mp4 200.8 MB
05 - Computer Vision and Convolutional Neural Networks in TensorFlow/015 Breaking our CNN model down part 5 Looking inside a Conv2D layer.mp4 195.8 MB
10 - NLP Fundamentals in TensorFlow/021 Discussing the intuition behind Conv1D neural networks for text and sequences.mp4 189.8 MB
11 - Milestone Project 2 SkimLit/021 Model 4 Building a multi-input model (hybrid token + character embeddings).mp4 189.7 MB
03 - Neural network regression with TensorFlow/006 The major steps in modelling with TensorFlow.mp4 188.7 MB
12 - Time Series fundamentals in TensorFlow + Milestone Project 3 BitPredict/050 Model 8 Building, compiling and fitting an ensemble of models.mp4 184.2 MB
07 - Transfer Learning in TensorFlow Part 2 Fine tuning/003 Downloading and turning our images into a TensorFlow BatchDataset.mp4 180.6 MB
08 - Transfer Learning with TensorFlow Part 3 Scaling Up/018 Making predictions on our test images and evaluating them.mp4 176.8 MB
11 - Milestone Project 2 SkimLit/014 Model 1 Building, fitting and evaluating a Conv1D with token embeddings.mp4 174.1 MB
10 - NLP Fundamentals in TensorFlow/019 Model 3 Building, fitting and evaluating a GRU-cell powered RNN.mp4 174.0 MB
10 - NLP Fundamentals in TensorFlow/027 Fixing our data leakage issue with model 7 and retraining it.mp4 173.5 MB
10 - NLP Fundamentals in TensorFlow/020 Model 4 Building, fitting and evaluating a bidirectional RNN model.mp4 170.7 MB
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1. INTRODUCTION TO THE COURSE The Key Concepts and Software Tools/2.1 Data.zip.zip 558.2 MB
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5. Some Preliminary Tensorflow and Keras Applications/1. Theory of Linear Regression (OLS).mp4 118.2 MB
2. Introduction to Python Data Science Packages/4. Numpy Operations.mp4 117.2 MB
10. Convolution Neural Network (CNN) For Image Analysis/6. CNN on Image Data-Part 1.mp4 114.2 MB
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~Get Your Files Here !/3. Transfer Learning/011. Transfer learning with TensorFlow Hub.mp4 48.6 MB
~Get Your Files Here !/4. Monitoring the Training Process/016. Using TensorBoard.mp4 42.3 MB
~Get Your Files Here !/4. Monitoring the Training Process/014. Using ModelCheckpoint.mp4 39.0 MB
~Get Your Files Here !/2. Neural Networks and Images/004. Review of neural networks.mp4 36.5 MB
~Get Your Files Here !/2. Neural Networks and Images/007. Solution Experiment with hyperparameters.mp4 32.3 MB
~Get Your Files Here !/2. Neural Networks and Images/005. Working with color images and neural networks.mp4 29.6 MB
~Get Your Files Here !/3. Transfer Learning/012. TensorFlow Hub for CIFAR-10.mp4 24.2 MB
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~Get Your Files Here !/2. Neural Networks and Images/006. Challenge Experiment with hyperparameters.mp4 16.8 MB
~Get Your Files Here !/3. Transfer Learning/010. What is transfer learning.mp4 14.8 MB
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~Get Your Files Here !/4. Monitoring the Training Process/013. Monitoring the training process.mp4 7.8 MB
~Get Your Files Here !/4. Monitoring the Training Process/015. Working with EarlyStopping.mp4 7.5 MB
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~Get Your Files Here !/1. Introduction/002. What you should know.mp4 4.0 MB
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18. Setting up your Environment/2. Windows-Focused Environment Setup 2018.mp4 203.4 MB
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4. Feedforward Artificial Neural Networks/4. Activation Functions.mp4 96.7 MB
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5. Convolutional Neural Networks/5. CNN Architecture.mp4 95.4 MB
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