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【压缩文件】 Deep Learning with TensorFlow 2.0 [2019]

收录时间:2021-03-19 文档个数:4 文档大小:2.0 GB 最近下载:2025-05-16 人气:4681 磁力链接

Deep Learning with TensorFlow 2.0 [2019].zip 2.0 GB
Download more courses.url 123 Bytes
Downloaded from TutsGalaxy.com.txt 73 Bytes
TutsGalaxy.com.txt 53 Bytes

猜你喜欢： TensorFlow 2.0 2019 Learning Deep

【影视】 Deep Learning - Artificial Neural Networks with Tensorflow

收录时间:2024-07-09 文档个数:64 文档大小:1.2 GB 最近下载:2025-05-15 人气:4646 磁力链接

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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【影视】 [ DevCourseWeb.com ] Udemy - Object Detection And Recognition Using TensorFlow And Python

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~Get Your Files Here !/3. HOW TO CREATE DATASET FOR OBJECT DETECTION.mp4 98.7 MB
~Get Your Files Here !/9. EXECUTE THE PROJECT IN PYCHARM IDE.mp4 71.5 MB
~Get Your Files Here !/8. INSTALL THE PYCHARM IDE AND CODE EXPLAINATION.mp4 65.2 MB
~Get Your Files Here !/5. VALIDATE AND TESTING THE MODEL.mp4 59.3 MB
~Get Your Files Here !/6. DOWNLOAD THE MODEL AND FEATURES.mp4 52.8 MB
~Get Your Files Here !/4. TRAIN THE DATASET INTO TENSORFLOW MODEL.mp4 36.5 MB
~Get Your Files Here !/2. INTRO TO PROJECT FIRST CLASS.mp4 32.3 MB
~Get Your Files Here !/7. EXTRACT THE MODEL AND FILES.mp4 18.5 MB
~Get Your Files Here !/10. CONCLUSION FOR THE PROJECT.mp4 13.6 MB
~Get Your Files Here !/1. INTRODUCTION TO COURSE PROJECT.mp4 13.6 MB
~Get Your Files Here !/Bonus Resources.txt 386 Bytes
Get Bonus Downloads Here.url 182 Bytes

猜你喜欢： Detection Python Object Udemy DevCourseWeb TensorFlow Using com Recognition

【影视】 GetFreeCourses.Co-Udemy-Tensorflow 2.0 Deep Learning and Artificial Intelligence

收录时间:2023-12-17 文档个数:277 文档大小:7.3 GB 最近下载:2025-05-16 人气:4434 磁力链接

18. Setting up your Environment (FAQ by Student Request)/2. Anaconda Environment Setup.mp4 189.7 MB
18. Setting up your Environment (FAQ by Student Request)/3. Installing NVIDIA GPU-Accelerated Deep Learning Libraries on your Home Computer.mp4 175.4 MB
18. Setting up your Environment (FAQ by Student Request)/1. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 157.9 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/12. Demo of the Long Distance Problem.mp4 130.1 MB
20. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/4. Machine Learning and AI Prerequisite Roadmap (pt 2).mp4 113.4 MB
20. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 110.7 MB
13. Advanced Tensorflow Usage/2. Tensorflow Serving pt 2.mp4 110.1 MB
11. Deep Reinforcement Learning (Theory)/2. Elements of a Reinforcement Learning Problem.mp4 103.4 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/1. Sequence Data.mp4 94.5 MB
10. GANs (Generative Adversarial Networks)/1. GAN Theory.mp4 91.4 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/5. Recurrent Neural Networks.mp4 87.0 MB
5. Convolutional Neural Networks/5. CNN Architecture.mp4 84.5 MB
4. Feedforward Artificial Neural Networks/5. Activation Functions.mp4 84.4 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/9. GRU and LSTM (pt 1).mp4 83.7 MB
5. Convolutional Neural Networks/1. What is Convolution (part 1).mp4 83.6 MB
20. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/3. Machine Learning and AI Prerequisite Roadmap (pt 1).mp4 83.6 MB
10. GANs (Generative Adversarial Networks)/2. GAN Code.mp4 82.1 MB
5. Convolutional Neural Networks/6. CNN Code Preparation.mp4 80.6 MB
19. Extra Help With Python Coding for Beginners (FAQ by Student Request)/1. Beginner's Coding Tips.mp4 79.4 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/7. RNN for Time Series Prediction.mp4 77.7 MB

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【影视】 [FreeCoursesOnline.Me] PacktPub - Master Deep Learning with TensorFlow 2.0 in Python [2019] [Video]

收录时间:2021-03-10 文档个数:89 文档大小:2.5 GB 最近下载:2025-05-15 人气:4416 磁力链接

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】 Deep learning using Tensorflow Lite on Raspberry Pi

收录时间:2023-12-28 文档个数:72 文档大小:3.5 GB 最近下载:2025-05-15 人气:4349 磁力链接

[TutsNode.net] - Deep learning using Tensorflow Lite on Raspberry Pi/2. Visual Calculator/26. z.mp4 201.3 MB
[TutsNode.net] - Deep learning using Tensorflow Lite on Raspberry Pi/2. Visual Calculator/27. za.mp4 154.0 MB
[TutsNode.net] - Deep learning using Tensorflow Lite on Raspberry Pi/2. Visual Calculator/25. y.mp4 137.7 MB
[TutsNode.net] - Deep learning using Tensorflow Lite on Raspberry Pi/2. Visual Calculator/12. l.mp4 134.5 MB
[TutsNode.net] - Deep learning using Tensorflow Lite on Raspberry Pi/2. Visual Calculator/21. u.mp4 129.7 MB
[TutsNode.net] - Deep learning using Tensorflow Lite on Raspberry Pi/2. Visual Calculator/18. r.mp4 128.6 MB
[TutsNode.net] - Deep learning using Tensorflow Lite on Raspberry Pi/2. Visual Calculator/8. h.mp4 126.1 MB
[TutsNode.net] - Deep learning using Tensorflow Lite on Raspberry Pi/1. Non Linear Trigonometric Functions Approximation/2. b.mp4 124.5 MB
[TutsNode.net] - Deep learning using Tensorflow Lite on Raspberry Pi/2. Visual Calculator/24. x.mp4 123.9 MB
[TutsNode.net] - Deep learning using Tensorflow Lite on Raspberry Pi/2. Visual Calculator/23. w.mp4 123.7 MB
[TutsNode.net] - Deep learning using Tensorflow Lite on Raspberry Pi/1. Non Linear Trigonometric Functions Approximation/1. a.mp4 122.0 MB
[TutsNode.net] - Deep learning using Tensorflow Lite on Raspberry Pi/2. Visual Calculator/20. t.mp4 119.4 MB
[TutsNode.net] - Deep learning using Tensorflow Lite on Raspberry Pi/2. Visual Calculator/19. s.mp4 114.1 MB
[TutsNode.net] - Deep learning using Tensorflow Lite on Raspberry Pi/1. Non Linear Trigonometric Functions Approximation/4. d.mp4 110.3 MB
[TutsNode.net] - Deep learning using Tensorflow Lite on Raspberry Pi/2. Visual Calculator/5. e.mp4 109.1 MB
[TutsNode.net] - Deep learning using Tensorflow Lite on Raspberry Pi/2. Visual Calculator/15. o.mp4 108.6 MB
[TutsNode.net] - Deep learning using Tensorflow Lite on Raspberry Pi/2. Visual Calculator/4. d.mp4 107.8 MB
[TutsNode.net] - Deep learning using Tensorflow Lite on Raspberry Pi/2. Visual Calculator/17. q.mp4 102.6 MB
[TutsNode.net] - Deep learning using Tensorflow Lite on Raspberry Pi/2. Visual Calculator/3. c.mp4 98.9 MB
[TutsNode.net] - Deep learning using Tensorflow Lite on Raspberry Pi/2. Visual Calculator/6. f.mp4 92.1 MB

猜你喜欢： Pi Deep learning Tensorflow Lite using Raspberry

【影视】 [FreeCourseSite.com] Udemy - TensorFlow Developer Certificate in 2023 Zero to Mastery

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 人气:4344 磁力链接

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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【压缩文件】 Deep Learning for Computer Vision with TensorFlow 2

收录时间:2022-03-02 文档个数:229 文档大小:7.9 GB 最近下载:2025-05-15 人气:4261 磁力链接

[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】 Deep Learning - Recurrent Neural Networks with TensorFlow

收录时间:2024-07-09 文档个数:51 文档大小:958.9 MB 最近下载:2025-05-15 人气:4120 磁力链接

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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【压缩文件】 [FreeCoursesOnline.Me] Coursera - TensorFlow Advanced Techniques Specialization

收录时间:2024-04-09 文档个数:8 文档大小:1.6 GB 最近下载:2025-05-13 人气:4047 磁力链接

Generative-deep-learning-with-tensorflow.zip 431.5 MB
Custom-distributed-training-with-tensorflow.zip 399.8 MB
Custom-models-layers-loss-functions-with-tensorflow.zip 384.2 MB
Advanced-computer-vision-with-tensorflow.zip 355.2 MB
0. Websites you may like/Free Premium Accounts at OfficialMrB.com.txt 650 Bytes
0. Websites you may like/1. OneHack.us Premium Cracked Accounts-Tutorials-Guides-Articles Community Based Forum.url 377 Bytes
Content Info.txt 301 Bytes
FreeCoursesOnline.me Download Udacity, Masterclass, Lynda, PHLearn, etc Free.url 290 Bytes

猜你喜欢： FreeCoursesOnline Me Specialization Coursera TensorFlow Advanced Techniques

【影视】 TensorFlow 2.0 Masterclass Hands-On Deep Learning and AI

收录时间:2021-06-03 文档个数:285 文档大小:6.5 GB 最近下载:2025-05-15 人气:4014 磁力链接

[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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【其他】 [DesireCourse.Net] Udemy - A Complete Guide on TensorFlow 2.0 using Keras API

收录时间:2024-03-02 文档个数:258 文档大小:5.5 GB 最近下载:2025-05-15 人气:3965 磁力链接

16. Annex 2 - Convolutional Neural Networks Theory/7. Step 4 - Full Connection.mp4.!qB 203.6 MB
17. Annex 3 - Recurrent Neural Networks Theory/5. LSTM Practical Intuition.mp4.!qB 196.5 MB
1. Introduction/1. Welcome to the TensorFlow 2.0 course! Discover its structure and the TF toolkit..mp4.!qB 153.4 MB
16. Annex 2 - Convolutional Neural Networks Theory/5. Step 2 - Max Pooling.mp4.!qB 143.9 MB
17. Annex 3 - Recurrent Neural Networks Theory/4. LSTMs.mp4.!qB 143.1 MB
7. Deep Reinforcement Learning Theory/9. Action Selection Policies.mp4.!qB 141.3 MB
17. Annex 3 - Recurrent Neural Networks Theory/2. What are Recurrent Neural Networks.mp4.!qB 126.8 MB
16. Annex 2 - Convolutional Neural Networks Theory/9. Softmax & Cross-Entropy.mp4.!qB 123.6 MB
2. TensorFlow 2.0 Basics/1. From TensorFlow 1.x to TensorFlow 2.0.mp4.!qB 120.4 MB
7. Deep Reinforcement Learning Theory/8. Experience Replay.mp4.!qB 117.9 MB
15. Annex 1 - Artificial Neural Networks Theory/5. How do Neural Networks Learn.mp4.!qB 117.6 MB
17. Annex 3 - Recurrent Neural Networks Theory/3. Vanishing Gradient.mp4.!qB 116.4 MB
16. Annex 2 - Convolutional Neural Networks Theory/2. What are Convolutional Neural Networks.mp4.!qB 113.1 MB
7. Deep Reinforcement Learning Theory/6. Deep Q-Learning Intuition - Step 1.mp4.!qB 104.3 MB
15. Annex 1 - Artificial Neural Networks Theory/2. The Neuron.mp4.!qB 103.5 MB
16. Annex 2 - Convolutional Neural Networks Theory/3. Step 1 - Convolution.mp4.!qB 102.6 MB
7. Deep Reinforcement Learning Theory/5. Temporal Difference.mp4.!qB 101.8 MB
7. Deep Reinforcement Learning Theory/2. The Bellman Equation.mp4.!qB 99.7 MB
7. Deep Reinforcement Learning Theory/3. Markov Decision Process (MDP).mp4.!qB 98.9 MB
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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
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1.1-The course Overview - Building Machine Learning Systems with TensorFlow [Video].mp4 13.2 MB
1.2-TensorFlows Main Data Structure – Tensors - Building Machine Learning Systems with TensorFlow [Video].mp4 20.6 MB
1.3-Handling the Computing Workflow – TensorFlows Data Flow Graph - Building Machine Learning Systems with TensorFlow [Video].mp4 15.0 MB
1.4-Basic Tensor Methods - Building Machine Learning Systems with TensorFlow [Video].mp4 31.0 MB
1.5-How TensorBoard Works - Building Machine Learning Systems with TensorFlow [Video].mp4 20.0 MB
1.6-Reading Information from Disk - Building Machine Learning Systems with TensorFlow [Video].mp4 16.5 MB
2.1-Learning from Data –Unsupervised Learning - Building Machine Learning Systems with TensorFlow [Video].mp4 5.1 MB
2.2-Mechanics of k-Means - Building Machine Learning Systems with TensorFlow [Video].mp4 7.0 MB
2.3-k-Nearest Neighbor - Building Machine Learning Systems with TensorFlow [Video].mp4 16.1 MB
2.4-Project 1 – k-Means Clustering on Synthetic Datasets - Building Machine Learning Systems with TensorFlow [Video].mp4 16.8 MB
2.5-Project 2 – Nearest Neighbor on Synthetic Datasets - Building Machine Learning Systems with TensorFlow [Video].mp4 8.8 MB
3.1-Univariate Linear Modelling Function - Building Machine Learning Systems with TensorFlow [Video].mp4 9.9 MB
3.2-Optimizer Methods in TensorFlow – The Train Module - Building Machine Learning Systems with TensorFlow [Video].mp4 6.3 MB
3.3-Univariate Linear Regression - Building Machine Learning Systems with TensorFlow [Video].mp4 19.7 MB
3.4-Multivariate Linear Regression - Building Machine Learning Systems with TensorFlow [Video].mp4 20.1 MB
4.1-Logistic Function Predecessor – The Logit Functions - Building Machine Learning Systems with TensorFlow [Video].mp4 7.7 MB
4.2-The Logistic Function - Building Machine Learning Systems with TensorFlow [Video].mp4 10.6 MB
4.3-Univariate Logistic Regression - Building Machine Learning Systems with TensorFlow [Video].mp4 26.3 MB
4.4-Univariate Logistic Regression with keras - Building Machine Learning Systems with TensorFlow [Video].mp4 10.6 MB
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Browser-based-models-tensorflow.zip 464.4 MB
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Advanced-deployment-scenarios-tensorflow.zip 247.8 MB
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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
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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
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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
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Detect Fraud and Predict the Stock Market with TensorFlow.zip 1.1 GB
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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
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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
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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
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11. Python - Solving a Regression problem using ANN/1. Building Neural Network for Regression Problem.mp4 163.5 MB
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10. Python - Building and training the Model/4. Evaluating performance and Predicting using Keras.mp4 73.3 MB
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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
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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
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video3_3.mp4 11.2 MB
video3_4.mp4 6.9 MB
video3_5.mp4 7.8 MB
video3_6.mp4 9.7 MB
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