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- 【压缩文件】 [ FreeCourseWeb.com ] A Practical Guide to Deep Learning with TensorFlow 2.0 and Keras.zip
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[ FreeCourseWeb.com ] A Practical Guide to Deep Learning with TensorFlow 2.0 and Keras.zip 4.3 GB
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- 【影视】 [CourseClub.ME] - PacktPub -Learn Artificial Intelligence with TensorFlow [Video]
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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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- 【压缩文件】 [ FreeCourseWeb.com ] A Practical Guide to Machine Learning with TensorFlow 2.0 & Keras.zip
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[ FreeCourseWeb.com ] A Practical Guide to Machine Learning with TensorFlow 2.0 & Keras.zip 2.4 GB
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- 【影视】 [DesireCourse.Net] Udemy - Tensorflow 2.0 Deep Learning and Artificial Intelligence
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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
20. Effective Learning Strategies for Machine Learning/4. What order should I take your courses in (part 2).mp4 128.6 MB
20. Effective Learning Strategies for Machine Learning/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 96.7 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
20. Effective Learning Strategies for Machine Learning/3. 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 90.6 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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- 【压缩文件】 [ FreeCourseWeb.com ] A Practical Guide to Machine Learning with TensorFlow 2.0 & Keras.zip
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[ FreeCourseWeb.com ] A Practical Guide to Machine Learning with TensorFlow 2.0 & Keras.zip 2.4 GB
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- 【压缩文件】 [FreeTutorials.Us] Udemy - complete-guide-to-tensorflow-for-deep-learning-with-python
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01 Introduction/001 Introduction.mp4 12.5 MB
01 Introduction/001 Introduction-subtitle-en.srt 4.6 kB
01 Introduction/002 Course Overview -- PLEASE DON'T SKIP THIS LECTURE! Thanks _).mp4 17.2 MB
01 Introduction/002 Course Overview -- PLEASE DON'T SKIP THIS LECTURE! Thanks _)-subtitle-en.srt 17.6 kB
01 Introduction/002 FULL-TENSORFLOW-NOTES-AND-DATA.zip 314.2 MB
01 Introduction/003 FAQ - Frequently Asked Questions.html 1.6 kB
01 Introduction/003 FULL-TENSORFLOW-NOTES-AND-DATA.zip 314.2 MB
02 Installation and Setup/004 Quick Note for MacOS and Linux Users.html 3.1 kB
02 Installation and Setup/005 Installing TensorFlow Environment.mp4 29.2 MB
02 Installation and Setup/005 Installing TensorFlow Environment-subtitle-en.srt 20.9 kB
03 What is Machine Learning_/006 Machine Learning Overview.mp4 31.9 MB
03 What is Machine Learning_/006 Machine Learning Overview-subtitle-en.srt 28.2 kB
03 What is Machine Learning_/external_links.txt 132 Bytes
04 Crash Course Overview/007 Crash Course Section Introduction.mp4 2.3 MB
04 Crash Course Overview/007 Crash Course Section Introduction-subtitle-en.srt 2.1 kB
04 Crash Course Overview/008 NumPy Crash Course.mp4 34.1 MB
04 Crash Course Overview/008 NumPy Crash Course-subtitle-en.srt 24.8 kB
04 Crash Course Overview/009 Pandas Crash Course.mp4 9.5 MB
04 Crash Course Overview/009 Pandas Crash Course-subtitle-en.srt 7.1 kB
04 Crash Course Overview/010 Data Visualization Crash Course.mp4 20.5 MB
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- 【压缩文件】 [HiOrla.com] Udemy - complete-guide-to-tensorflow-for-deep-learning-with-python.zip
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[HiOrla.com] Udemy - complete-guide-to-tensorflow-for-deep-learning-with-python.zip 2.2 GB
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- 【影视】 [FreeCourseSite.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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- 【压缩文件】 [ FreeCourseWeb.com ] Skillshare - What are Tensors in Tensorflow- Master the basics.zip
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[ FreeCourseWeb.com ] Skillshare - What are Tensors in Tensorflow- Master the basics.zip 724.4 MB
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- 【文档书籍】 TensorFlow神经网络编程
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TensorFlow神经网络编程.pdf 163.2 MB
精品资源分享.必读说明(小额有偿).ifulicn.com.pdf 814.3 kB
精品资源分享.必读说明(小额有偿).ifulicn.com.docx 549.1 kB
index.html 70.3 kB
精品资源分享.必读说明(小额有偿).ifulicn.com.txt 53.8 kB
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- 【影视】 [CourseClub.Me] Coursera - TensorFlow Data and Deployment Specialization
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2. Device-based Models with TensorFlow Lite/device-based-models-tensorflow - 01 - Introduction, A conversation with Andrew Ng.mp4 39.7 MB
1. Browser-based Models with TensorFlow.js/browser-based-models-tensorflow - 19 - MNIST Classifier In Code.mp4 21.8 MB
3. Data Pipelines with TensorFlow Data Services/data-pipelines-tensorflow - 39 - A conversation with Andrew Ng.mp4 21.0 MB
4. Advanced Deployment Scenarios with TensorFlow/advanced-deployment-scenarios-tensorflow - 01 - Introduction, A conversation with Andrew Ng.mp4 19.3 MB
2. Device-based Models with TensorFlow Lite/device-based-models-tensorflow - 15 - Introduction, A conversation with Andrew.mp4 18.6 MB
4. Advanced Deployment Scenarios with TensorFlow/advanced-deployment-scenarios-tensorflow - 34 - Introduction, A conversation with Andrew Ng.mp4 18.3 MB
2. Device-based Models with TensorFlow Lite/device-based-models-tensorflow - 52 - Introduction, A conversation with Andrew Ng.mp4 18.0 MB
3. Data Pipelines with TensorFlow Data Services/data-pipelines-tensorflow - 33 - Notebook walkthrough.mp4 17.8 MB
4. Advanced Deployment Scenarios with TensorFlow/advanced-deployment-scenarios-tensorflow - 24 - Introduction, A conversation with Andrew Ng.mp4 17.3 MB
4. Advanced Deployment Scenarios with TensorFlow/advanced-deployment-scenarios-tensorflow - 13 - Introduction, A conversation with Andrew Ng.mp4 16.5 MB
2. Device-based Models with TensorFlow Lite/device-based-models-tensorflow - 14 - Transfer learning with TFLite.mp4 16.1 MB
3. Data Pipelines with TensorFlow Data Services/data-pipelines-tensorflow - 01 - A conversation with Andrew Ng.mp4 15.8 MB
4. Advanced Deployment Scenarios with TensorFlow/advanced-deployment-scenarios-tensorflow - 35 - Training on mobile devices.mp4 15.3 MB
3. Data Pipelines with TensorFlow Data Services/data-pipelines-tensorflow - 26 - Notebook Walkthrough.mp4 14.6 MB
2. Device-based Models with TensorFlow Lite/device-based-models-tensorflow - 45 - Looking at the code for the image classification App.mp4 14.3 MB
2. Device-based Models with TensorFlow Lite/device-based-models-tensorflow - 38 - Looking at the App in Xcode.mp4 14.1 MB
2. Device-based Models with TensorFlow Lite/device-based-models-tensorflow - 25 - Demo of camera image classifier.mp4 14.0 MB
4. Advanced Deployment Scenarios with TensorFlow/advanced-deployment-scenarios-tensorflow - 38 - Maintaining user privacy.mp4 13.6 MB
3. Data Pipelines with TensorFlow Data Services/data-pipelines-tensorflow - 58 - Going Through the Colab - Part 2.mp4 13.4 MB
3. Data Pipelines with TensorFlow Data Services/data-pipelines-tensorflow - 60 - A conversation with Andrew Ng.mp4 13.3 MB
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- 【影视】 [ FreeCourseWeb.com ] Udemy - TensorFlow Interview Questions & Answers
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~Get Your Files Here !/5. Part 5 - TensorFlow Interview Questions & Answers/1. Part 5 - TensorFlow Interview Questions & Answers.mp4 275.4 MB
~Get Your Files Here !/6. Part 6 - TensorFlow Interview Questions & Answers/1. Part 6 - TensorFlow Interview Questions & Answers.mp4 207.7 MB
~Get Your Files Here !/4. Part 4 - TensorFlow Interview Questions & Answers/1. Part 4 - TensorFlow Interview Questions & Answers.mp4 168.8 MB
~Get Your Files Here !/3. Part 3 - TensorFlow Interview Questions & Answers/1. Part 3 - TensorFlow Interview Questions & Answers.mp4 146.3 MB
~Get Your Files Here !/9. Part 9 - TensorFlow Interview Questions & Answers/1. Part 9 - TensorFlow Interview Questions & Answers.mp4 140.3 MB
~Get Your Files Here !/2. Part 2 - TensorFlow Interview Questions & Answers/1. Part 2 - TensorFlow Interview Questions & Answers.mp4 115.4 MB
~Get Your Files Here !/1. Part 1 - TensorFlow Interview Questions & Answers/1. Part 1 - TensorFlow Interview Questions & Answers.mp4 113.8 MB
~Get Your Files Here !/7. Part 7 - TensorFlow Interview Questions & Answers/1. Part 7 - TensorFlow Interview Questions & Answers.mp4 108.1 MB
~Get Your Files Here !/8. Part 8 - TensorFlow Interview Questions & Answers/1. Part 8 - TensorFlow Interview Questions & Answers.mp4 76.7 MB
~Get Your Files Here !/5. Part 5 - TensorFlow Interview Questions & Answers/1. Part 5 - TensorFlow Interview Questions & Answers.srt 33.5 kB
~Get Your Files Here !/6. Part 6 - TensorFlow Interview Questions & Answers/1. Part 6 - TensorFlow Interview Questions & Answers.srt 27.4 kB
~Get Your Files Here !/9. Part 9 - TensorFlow Interview Questions & Answers/1. Part 9 - TensorFlow Interview Questions & Answers.srt 17.6 kB
~Get Your Files Here !/4. Part 4 - TensorFlow Interview Questions & Answers/1. Part 4 - TensorFlow Interview Questions & Answers.srt 17.4 kB
~Get Your Files Here !/3. Part 3 - TensorFlow Interview Questions & Answers/1. Part 3 - TensorFlow Interview Questions & Answers.srt 17.2 kB
~Get Your Files Here !/1. Part 1 - TensorFlow Interview Questions & Answers/1. Part 1 - TensorFlow Interview Questions & Answers.srt 17.0 kB
~Get Your Files Here !/2. Part 2 - TensorFlow Interview Questions & Answers/1. Part 2 - TensorFlow Interview Questions & Answers.srt 16.3 kB
~Get Your Files Here !/7. Part 7 - TensorFlow Interview Questions & Answers/1. Part 7 - TensorFlow Interview Questions & Answers.srt 12.6 kB
~Get Your Files Here !/8. Part 8 - TensorFlow Interview Questions & Answers/1. Part 8 - TensorFlow Interview Questions & Answers.srt 9.9 kB
~Get Your Files Here !/Bonus Resources.txt 357 Bytes
Get Bonus Downloads Here.url 183 Bytes
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- 【影视】 [FreeCourseSite.com] Udemy - A Complete Guide on TensorFlow 2.0 using Keras API
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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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01 Outline and Review/001 Introduction and Outline.mp4 3.1 MB
01 Outline and Review/002 Review of Important Concepts.mp4 6.0 MB
01 Outline and Review/003 Where to get the code and data for this course.mp4 5.9 MB
01 Outline and Review/004 How to Succeed in this Course.mp4 10.0 MB
01 Outline and Review/005 How to load the SVHN data and benchmark a vanilla deep network.mp4 10.5 MB
02 Convolution/006 What is convolution.mp4 9.0 MB
02 Convolution/007 Convolution example with audio Echo.mp4 12.7 MB
02 Convolution/008 Convolution example with images Gaussian Blur.mp4 14.7 MB
02 Convolution/009 Convolution example with images Edge Detection.mp4 8.3 MB
02 Convolution/010 Write Convolution Yourself.mp4 19.4 MB
02 Convolution/011 Alternative Views on Convolution.mp4 10.3 MB
03 Convolutional Neural Network Description/012 Translational Invariance.mp4 3.8 MB
03 Convolutional Neural Network Description/013 Architecture of a CNN.mp4 8.9 MB
03 Convolutional Neural Network Description/014 Relationship to Biology.mp4 4.1 MB
03 Convolutional Neural Network Description/015 Convolution and Pooling Gradients.mp4 4.4 MB
03 Convolutional Neural Network Description/016 LeNet - How the Shapes Go Together.mp4 22.7 MB
04 Convolutional Neural Network in Theano/017 Theano - Building the CNN components.mp4 7.3 MB
04 Convolutional Neural Network in Theano/018 Theano - Full CNN and Test on SVHN.mp4 41.3 MB
04 Convolutional Neural Network in Theano/019 Visualizing the Learned Filters.mp4 9.4 MB
05 Convolutional Neural Network in TensorFlow/020 TensorFlow - Building the CNN components.mp4 6.2 MB
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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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- 【压缩文件】 Udemy.Tensorflow.Guía.completa.para.Nuevo.Tensorflow
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- 【影视】 [DesireCourse.Net] Udemy - Deep Learning with TensorFlow 2.0 [2020]
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收录时间:2021-03-08
文档个数:304
文档大小:2.0 GB
最近下载:2025-02-21
人气:447
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14. Appendix Linear Algebra Fundamentals/11. Why is Linear Algebra Useful.mp4 151.3 MB
1. Welcome! Course introduction/1. Meet your instructors and why you should study machine learning.mp4 110.9 MB
13. Business case/4. Preprocessing the data.mp4 88.4 MB
13. Business case/1. Exploring the dataset and identifying predictors.mp4 69.5 MB
13. Business case/9. Setting an early stopping mechanism.mp4 52.2 MB
14. Appendix Linear Algebra Fundamentals/3. Linear Algebra and Geometry.mp4 52.2 MB
14. Appendix Linear Algebra Fundamentals/10. Dot Product of Matrices.mp4 51.8 MB
12. The MNIST example/6. Preprocess the data - shuffle and batch the data.mp4 43.6 MB
12. The MNIST example/10. Learning.mp4 42.9 MB
2. Introduction to neural networks/24. N-parameter gradient descent.mp4 41.4 MB
3. Setting up the working environment/9. Installing TensorFlow 2.mp4 40.6 MB
2. Introduction to neural networks/12. The linear model. Multiple inputs and multiple outputs.mp4 40.1 MB
14. Appendix Linear Algebra Fundamentals/8. Transpose of a Matrix.mp4 39.9 MB
5. TensorFlow - An introduction/5. Model layout - inputs, outputs, targets, weights, biases, optimizer and loss.mp4 36.4 MB
14. Appendix Linear Algebra Fundamentals/2. Scalars and Vectors.mp4 35.5 MB
14. Appendix Linear Algebra Fundamentals/1. What is a Matrix.mp4 35.2 MB
5. TensorFlow - An introduction/1. TensorFlow outline.mp4 35.2 MB
14. Appendix Linear Algebra Fundamentals/6. Addition and Subtraction of Matrices.mp4 34.2 MB
3. Setting up the working environment/2. Why Python and why Jupyter.mp4 33.6 MB
13. Business case/8. Learning and interpreting the result.mp4 32.7 MB
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- 【压缩文件】 [ CoursePig.com ] Udemy - Deep learning for image segmentation using Tensorflow 2.zip
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收录时间:2022-03-12
文档个数:1
文档大小:2.5 GB
最近下载:2025-02-11
人气:122
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[ CoursePig.com ] Udemy - Deep learning for image segmentation using Tensorflow 2.zip 2.5 GB
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- 【影视】 [FreeCourseSite.com] Udemy - A Complete Guide on TensorFlow 2.0 using Keras API
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收录时间:2021-03-08
文档个数:275
文档大小:5.6 GB
最近下载:2025-02-11
人气:202
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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.srt 147.0 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
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- 【影视】 [FreeCourseSite.com] Udemy - TensorFlow 2.0 Practical Advanced
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收录时间:2022-03-16
文档个数:174
文档大小:5.9 GB
最近下载:2025-02-06
人气:532
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01 - INTRODUCTION AND COURSE OUTLINE/007 Whats New in TensorFlow 2.0.mp4 229.6 MB
05 - DEEP DREAM/008 Deep Dream Coding P5.mp4 221.2 MB
05 - DEEP DREAM/001 What is Deep Dream.mp4 203.4 MB
05 - DEEP DREAM/002 How does DeepDream Algo work.mp4 162.6 MB
02 - REVIEW OF ARTIFICIAL NEURAL NETWORKS AND CONVOLUTIONAL NEURAL NETWORKS/001 ANN and CNN - Part 1.mp4 149.3 MB
04 - AUTOENCODERS/013 Autoencoders Project 2 - Coding P2.mp4 147.5 MB
04 - AUTOENCODERS/001 Autoencoders intuition.mp4 124.4 MB
04 - AUTOENCODERS/20087012-traffic-signs-data.zip 121.4 MB
03 - TRANSFER LEARNING (TF HUB)/006 Transfer Learning Project 1 - Coding P2.mp4 114.9 MB
02 - REVIEW OF ARTIFICIAL NEURAL NETWORKS AND CONVOLUTIONAL NEURAL NETWORKS/010 Project 1 - Solution Part 2.mp4 106.3 MB
06 - GANs/010 GANS Project 1 P5.mp4 102.1 MB
08 - TENSORFLOW SERVING AND TENSORBOARD/003 TF Serving Coding Part 3.mp4 102.1 MB
05 - DEEP DREAM/007 Deep Dream Coding P4.mp4 101.9 MB
02 - REVIEW OF ARTIFICIAL NEURAL NETWORKS AND CONVOLUTIONAL NEURAL NETWORKS/007 ANN and CNN - Part 7.mp4 100.3 MB
07 - RECURRENT NEURAL NETWORKS (RNNs) AND LSTMs/006 Vanishing Gradient Problem.mp4 100.3 MB
07 - RECURRENT NEURAL NETWORKS (RNNs) AND LSTMs/007 Long Short Term Memory LSTM.mp4 96.7 MB
01 - INTRODUCTION AND COURSE OUTLINE/004 ML, AI and DL.mp4 96.2 MB
06 - GANs/001 GANS intuition.mp4 95.4 MB
03 - TRANSFER LEARNING (TF HUB)/005 Transfer Learning Project 1 - Coding P1.mp4 93.8 MB
03 - TRANSFER LEARNING (TF HUB)/007 Transfer Learning Project 1 - Coding P3.mp4 92.6 MB
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