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文档列表

01 Introduction/002 FULL-TENSORFLOW-NOTES-AND-DATA.zip 314.2 MB
01 Introduction/003 FULL-TENSORFLOW-NOTES-AND-DATA.zip 314.2 MB
06 TensorFlow Basics/032 TensorFlow Regression Example _ Part Two.mp4 60.6 MB
07 Convolutional Neural Networks/052 CNN Project Exercise Solution - Part One.mp4 52.6 MB
10 AutoEncoders/080 Stacked Autoencoder.mp4 46.1 MB
05 Introduction to Neural Networks/024 Manual Neural Network Classification Task.mp4 42.5 MB
09 Miscellaneous Topics/075 Tensorboard.mp4 41.9 MB
10 AutoEncoders/077 Dimensionality Reduction with Linear Autoencoder.mp4 39.4 MB
11 Reinforcement Learning with OpenAI Gym/088 Simple Neural Network Game.mp4 37.6 MB
08 Recurrent Neural Networks/068 Word2Vec Code Along - Part One.mp4 37.3 MB
08 Recurrent Neural Networks/065 Time Series Exercise Solution.mp4 36.8 MB
07 Convolutional Neural Networks/046 MNIST Basic Approach Part Two.mp4 36.6 MB
08 Recurrent Neural Networks/060 RNN with TensorFlow - Part One.mp4 35.7 MB
08 Recurrent Neural Networks/069 Word2Vec Part Two.mp4 35.0 MB
09 Miscellaneous Topics/073 Deep Nets with Tensorflow Abstractions API - Keras.mp4 35.0 MB
11 Reinforcement Learning with OpenAI Gym/091 Policy Gradient Code Along Part Two.mp4 34.4 MB
06 TensorFlow Basics/030 TensorFlow - A Neural Network - Part Two.mp4 34.1 MB
04 Crash Course Overview/008 NumPy Crash Course.mp4 34.1 MB
06 TensorFlow Basics/034 TensorFlow Classification Example - Part Two.mp4 33.5 MB
03 What is Machine Learning_/006 Machine Learning Overview.mp4 31.9 MB
08 Recurrent Neural Networks/061 RNN with TensorFlow - Part Two.mp4 31.8 MB
06 TensorFlow Basics/031 TensorFlow Regression Example - Part One.mp4 31.5 MB
12 GAN - Generative Adversarial Networks/094 GAN Code Along - Part Two.mp4 30.7 MB
09 Miscellaneous Topics/074 Deep Nets with Tensorflow Abstractions API - Layers.mp4 30.1 MB
02 Installation and Setup/005 Installing TensorFlow Environment.mp4 29.2 MB
06 TensorFlow Basics/036 TF Regression Exercise Solution Walkthrough.mp4 29.1 MB
12 GAN - Generative Adversarial Networks/095 GAN Code Along - Part Three.mp4 28.9 MB
05 Introduction to Neural Networks/019 TensorFlow Playground.mp4 28.5 MB
07 Convolutional Neural Networks/053 CNN Project Exercise Solution - Part Two.mp4 28.3 MB
07 Convolutional Neural Networks/047 CNN Theory Part One.mp4 27.9 MB
07 Convolutional Neural Networks/049 CNN MNIST Code Along - Part One.mp4 27.5 MB
11 Reinforcement Learning with OpenAI Gym/090 Policy Gradient Code Along Part One.mp4 27.3 MB
05 Introduction to Neural Networks/023 Manual Creation of Neural Network - Part Four - Session.mp4 26.4 MB
06 TensorFlow Basics/033 TensorFlow Classification Example - Part One.mp4 24.9 MB
10 AutoEncoders/079 Linear Autoencoder PCA Exercise Solutions.mp4 24.0 MB
06 TensorFlow Basics/038 TF Classification Exercise Solution Walkthrough.mp4 22.8 MB
04 Crash Course Overview/011 SciKit Learn Preprocessing Overview.mp4 21.3 MB
07 Convolutional Neural Networks/042 New Theory Topics.mp4 20.7 MB
04 Crash Course Overview/010 Data Visualization Crash Course.mp4 20.5 MB
12 GAN - Generative Adversarial Networks/093 GAN Code Along - Part One.mp4 20.4 MB
06 TensorFlow Basics/026 TensorFlow Basic Syntax.mp4 19.9 MB
09 Miscellaneous Topics/072 Deep Nets with Tensorflow Abstractions API - Estimator API.mp4 19.6 MB
04 Crash Course Overview/013 Crash Course Review Exercise - Solutions.mp4 18.2 MB
08 Recurrent Neural Networks/056 Manual Creation of RNN.mp4 17.5 MB
08 Recurrent Neural Networks/067 Word2Vec Theory.mp4 17.4 MB
01 Introduction/002 Course Overview -- PLEASE DON'T SKIP THIS LECTURE! Thanks _).mp4 17.2 MB
09 Miscellaneous Topics/071 Deep Nets with Tensorflow Abstractions API - Part One.mp4 17.0 MB
07 Convolutional Neural Networks/051 Introduction to CNN Project.mp4 16.8 MB
06 TensorFlow Basics/039 Saving and Restoring Models.mp4 16.2 MB
11 Reinforcement Learning with OpenAI Gym/086 Open AI Gym Observations.mp4 16.1 MB
11 Reinforcement Learning with OpenAI Gym/087 OpenAI Gym Actions.mp4 15.5 MB
11 Reinforcement Learning with OpenAI Gym/084 OpenAI Gym Steup.mp4 15.5 MB
11 Reinforcement Learning with OpenAI Gym/083 Introduction to OpenAI Gym.mp4 14.6 MB
10 AutoEncoders/076 Autoencoder Basics.mp4 14.6 MB
11 Reinforcement Learning with OpenAI Gym/089 Policy Gradient Theory.mp4 14.4 MB
08 Recurrent Neural Networks/064 Time Series Exercise Overview.mp4 14.3 MB
12 GAN - Generative Adversarial Networks/092 Introduction to GANs.mp4 14.1 MB
05 Introduction to Neural Networks/022 Manual Creation of Neural Network - Part Three - Placeholders and Variables.mp4 13.9 MB
08 Recurrent Neural Networks/058 LSTM and GRU Theory.mp4 13.5 MB
06 TensorFlow Basics/028 Variables and Placeholders.mp4 13.5 MB
08 Recurrent Neural Networks/063 RNN with TensorFlow - Part Three.mp4 13.3 MB
05 Introduction to Neural Networks/020 Manual Creation of Neural Network - Part One.mp4 13.1 MB
07 Convolutional Neural Networks/045 MNIST Basic Approach Part One.mp4 12.7 MB
01 Introduction/001 Introduction.mp4 12.5 MB
06 TensorFlow Basics/029 TensorFlow - A Neural Network - Part One.mp4 12.2 MB
05 Introduction to Neural Networks/021 Manual Creation of Neural Network - Part Two - Operations.mp4 12.0 MB
08 Recurrent Neural Networks/055 RNN Theory.mp4 10.8 MB
11 Reinforcement Learning with OpenAI Gym/085 Open AI Gym Env Basics.mp4 10.5 MB
07 Convolutional Neural Networks/050 CNN MNIST Code Along - Part Two.mp4 10.1 MB
04 Crash Course Overview/009 Pandas Crash Course.mp4 9.5 MB
06 TensorFlow Basics/037 TF Classification Exercise.mp4 9.4 MB
05 Introduction to Neural Networks/016 Neural Network Activation Functions.mp4 9.0 MB
06 TensorFlow Basics/027 TensorFlow Graphs.mp4 9.0 MB
11 Reinforcement Learning with OpenAI Gym/081 Introduction to Reinforcement Learning with OpenAI Gym.mp4 8.4 MB
06 TensorFlow Basics/035 TF Regression Exercise.mp4 8.3 MB
04 Crash Course Overview/012 Crash Course Review Exercise.mp4 8.0 MB
05 Introduction to Neural Networks/015 Introduction to Perceptron.mp4 7.1 MB
07 Convolutional Neural Networks/044 MNIST Data Overview.mp4 6.9 MB
07 Convolutional Neural Networks/048 CNN Theory Part Two.mp4 6.9 MB
08 Recurrent Neural Networks/059 Introduction to RNN with TensorFlow API.mp4 6.6 MB
10 AutoEncoders/078 Linear Autoencoder PCA Exercise Overview.mp4 6.5 MB
08 Recurrent Neural Networks/057 Vanishing Gradients.mp4 6.3 MB
08 Recurrent Neural Networks/066 Quick Note on Word2Vec.mp4 6.3 MB
05 Introduction to Neural Networks/017 Cost Functions.mp4 5.2 MB
05 Introduction to Neural Networks/018 Gradient Descent Backpropagation.mp4 4.8 MB
07 Convolutional Neural Networks/041 Review of Neural Networks.mp4 3.6 MB
04 Crash Course Overview/007 Crash Course Section Introduction.mp4 2.3 MB
06 TensorFlow Basics/025 Introduction to TensorFlow.mp4 2.1 MB
05 Introduction to Neural Networks/014 Introduction to Neural Networks.mp4 1.7 MB
08 Recurrent Neural Networks/054 Introduction to RNN Section.mp4 1.6 MB
07 Convolutional Neural Networks/040 Introduction to Convolutional Neural Network Section.mp4 1.2 MB
09 Miscellaneous Topics/070 Miscellaneous-Topics.zip 75.8 kB
06 TensorFlow Basics/032 TensorFlow Regression Example _ Part Two-subtitle-en.srt 34.8 kB
06 TensorFlow Basics/031 TensorFlow Regression Example - Part One-subtitle-en.srt 30.6 kB
06 TensorFlow Basics/030 TensorFlow - A Neural Network - Part Two-subtitle-en.srt 30.6 kB
10 AutoEncoders/080 Stacked Autoencoder-subtitle-en.srt 30.0 kB
08 Recurrent Neural Networks/060 RNN with TensorFlow - Part One-subtitle-en.srt 29.3 kB
07 Convolutional Neural Networks/047 CNN Theory Part One-subtitle-en.srt 28.9 kB
03 What is Machine Learning_/006 Machine Learning Overview-subtitle-en.srt 28.2 kB
08 Recurrent Neural Networks/061 RNN with TensorFlow - Part Two-subtitle-en.srt 27.7 kB
09 Miscellaneous Topics/075 Tensorboard-subtitle-en.srt 27.3 kB
10 AutoEncoders/077 Dimensionality Reduction with Linear Autoencoder-subtitle-en.srt 26.6 kB
08 Recurrent Neural Networks/068 Word2Vec Code Along - Part One-subtitle-en.srt 26.5 kB
08 Recurrent Neural Networks/065 Time Series Exercise Solution-subtitle-en.srt 26.1 kB
05 Introduction to Neural Networks/024 Manual Neural Network Classification Task-subtitle-en.srt 25.6 kB
07 Convolutional Neural Networks/046 MNIST Basic Approach Part Two-subtitle-en.srt 25.3 kB
11 Reinforcement Learning with OpenAI Gym/088 Simple Neural Network Game-subtitle-en.srt 25.0 kB
07 Convolutional Neural Networks/049 CNN MNIST Code Along - Part One-subtitle-en.srt 25.0 kB
04 Crash Course Overview/008 NumPy Crash Course-subtitle-en.srt 24.8 kB
07 Convolutional Neural Networks/042 New Theory Topics-subtitle-en.srt 23.8 kB
07 Convolutional Neural Networks/052 CNN Project Exercise Solution - Part One-subtitle-en.srt 23.8 kB
06 TensorFlow Basics/026 TensorFlow Basic Syntax-subtitle-en.srt 21.1 kB
06 TensorFlow Basics/033 TensorFlow Classification Example - Part One-subtitle-en.srt 21.0 kB
02 Installation and Setup/005 Installing TensorFlow Environment-subtitle-en.srt 20.9 kB
09 Miscellaneous Topics/073 Deep Nets with Tensorflow Abstractions API - Keras-subtitle-en.srt 19.4 kB
08 Recurrent Neural Networks/067 Word2Vec Theory-subtitle-en.srt 19.2 kB
06 TensorFlow Basics/036 TF Regression Exercise Solution Walkthrough-subtitle-en.srt 18.2 kB
06 TensorFlow Basics/034 TensorFlow Classification Example - Part Two-subtitle-en.srt 18.0 kB
11 Reinforcement Learning with OpenAI Gym/091 Policy Gradient Code Along Part Two-subtitle-en.srt 17.9 kB
08 Recurrent Neural Networks/069 Word2Vec Part Two-subtitle-en.srt 17.9 kB
06 TensorFlow Basics/038 TF Classification Exercise Solution Walkthrough-subtitle-en.srt 17.9 kB
01 Introduction/002 Course Overview -- PLEASE DON'T SKIP THIS LECTURE! Thanks _)-subtitle-en.srt 17.6 kB
11 Reinforcement Learning with OpenAI Gym/090 Policy Gradient Code Along Part One-subtitle-en.srt 17.6 kB
07 Convolutional Neural Networks/053 CNN Project Exercise Solution - Part Two-subtitle-en.srt 17.5 kB
12 GAN - Generative Adversarial Networks/095 GAN Code Along - Part Three-subtitle-en.srt 17.2 kB
12 GAN - Generative Adversarial Networks/094 GAN Code Along - Part Two-subtitle-en.srt 17.2 kB
08 Recurrent Neural Networks/056 Manual Creation of RNN-subtitle-en.srt 17.0 kB
05 Introduction to Neural Networks/019 TensorFlow Playground-subtitle-en.srt 16.3 kB
09 Miscellaneous Topics/074 Deep Nets with Tensorflow Abstractions API - Layers-subtitle-en.srt 16.2 kB
08 Recurrent Neural Networks/058 LSTM and GRU Theory-subtitle-en.srt 15.4 kB
04 Crash Course Overview/011 SciKit Learn Preprocessing Overview-subtitle-en.srt 14.5 kB
05 Introduction to Neural Networks/023 Manual Creation of Neural Network - Part Four - Session-subtitle-en.srt 14.2 kB
11 Reinforcement Learning with OpenAI Gym/086 Open AI Gym Observations-subtitle-en.srt 14.2 kB
12 GAN - Generative Adversarial Networks/093 GAN Code Along - Part One-subtitle-en.srt 14.0 kB
10 AutoEncoders/076 Autoencoder Basics-subtitle-en.srt 13.6 kB
11 Reinforcement Learning with OpenAI Gym/087 OpenAI Gym Actions-subtitle-en.srt 13.6 kB
07 Convolutional Neural Networks/045 MNIST Basic Approach Part One-subtitle-en.srt 13.5 kB
05 Introduction to Neural Networks/022 Manual Creation of Neural Network - Part Three - Placeholders and Variables-subtitle-en.srt 13.4 kB
08 Recurrent Neural Networks/055 RNN Theory-subtitle-en.srt 12.8 kB
11 Reinforcement Learning with OpenAI Gym/089 Policy Gradient Theory-subtitle-en.srt 12.6 kB
11 Reinforcement Learning with OpenAI Gym/084 OpenAI Gym Steup-subtitle-en.srt 12.6 kB
08 Recurrent Neural Networks/064 Time Series Exercise Overview-subtitle-en.srt 12.4 kB
05 Introduction to Neural Networks/021 Manual Creation of Neural Network - Part Two - Operations-subtitle-en.srt 12.2 kB
04 Crash Course Overview/010 Data Visualization Crash Course-subtitle-en.srt 12.1 kB
10 AutoEncoders/079 Linear Autoencoder PCA Exercise Solutions-subtitle-en.srt 12.0 kB
06 TensorFlow Basics/029 TensorFlow - A Neural Network - Part One-subtitle-en.srt 11.7 kB
12 GAN - Generative Adversarial Networks/092 Introduction to GANs-subtitle-en.srt 11.6 kB
09 Miscellaneous Topics/072 Deep Nets with Tensorflow Abstractions API - Estimator API-subtitle-en.srt 11.5 kB
09 Miscellaneous Topics/071 Deep Nets with Tensorflow Abstractions API - Part One-subtitle-en.srt 11.5 kB
08 Recurrent Neural Networks/063 RNN with TensorFlow - Part Three-subtitle-en.srt 11.3 kB
06 TensorFlow Basics/039 Saving and Restoring Models-subtitle-en.srt 10.8 kB
07 Convolutional Neural Networks/051 Introduction to CNN Project-subtitle-en.srt 10.6 kB
05 Introduction to Neural Networks/016 Neural Network Activation Functions-subtitle-en.srt 10.1 kB
11 Reinforcement Learning with OpenAI Gym/085 Open AI Gym Env Basics-subtitle-en.srt 9.9 kB
04 Crash Course Overview/013 Crash Course Review Exercise - Solutions-subtitle-en.srt 9.7 kB
11 Reinforcement Learning with OpenAI Gym/083 Introduction to OpenAI Gym-subtitle-en.srt 9.5 kB
06 TensorFlow Basics/028 Variables and Placeholders-subtitle-en.srt 9.5 kB
05 Introduction to Neural Networks/020 Manual Creation of Neural Network - Part One-subtitle-en.srt 9.3 kB
06 TensorFlow Basics/027 TensorFlow Graphs-subtitle-en.srt 9.2 kB
05 Introduction to Neural Networks/015 Introduction to Perceptron-subtitle-en.srt 8.3 kB
06 TensorFlow Basics/037 TF Classification Exercise-subtitle-en.srt 8.1 kB
07 Convolutional Neural Networks/050 CNN MNIST Code Along - Part Two-subtitle-en.srt 8.1 kB
08 Recurrent Neural Networks/059 Introduction to RNN with TensorFlow API-subtitle-en.srt 7.5 kB
04 Crash Course Overview/009 Pandas Crash Course-subtitle-en.srt 7.1 kB
08 Recurrent Neural Networks/057 Vanishing Gradients-subtitle-en.srt 7.1 kB
11 Reinforcement Learning with OpenAI Gym/081 Introduction to Reinforcement Learning with OpenAI Gym-subtitle-en.srt 6.9 kB
07 Convolutional Neural Networks/048 CNN Theory Part Two-subtitle-en.srt 6.9 kB
07 Convolutional Neural Networks/044 MNIST Data Overview-subtitle-en.srt 6.8 kB
06 TensorFlow Basics/035 TF Regression Exercise-subtitle-en.srt 5.7 kB
05 Introduction to Neural Networks/018 Gradient Descent Backpropagation-subtitle-en.srt 5.6 kB
05 Introduction to Neural Networks/017 Cost Functions-subtitle-en.srt 5.6 kB
08 Recurrent Neural Networks/066 Quick Note on Word2Vec-subtitle-en.srt 5.1 kB
13 BONUS/096 Bonus Lecture_ Discounts for for My Other Courses.html 4.9 kB
01 Introduction/001 Introduction-subtitle-en.srt 4.6 kB
07 Convolutional Neural Networks/041 Review of Neural Networks-subtitle-en.srt 4.1 kB
04 Crash Course Overview/012 Crash Course Review Exercise-subtitle-en.srt 3.9 kB
02 Installation and Setup/004 Quick Note for MacOS and Linux Users.html 3.1 kB
10 AutoEncoders/078 Linear Autoencoder PCA Exercise Overview-subtitle-en.srt 3.0 kB
11 Reinforcement Learning with OpenAI Gym/082 Extra Resources for Reinforcement Learning.html 2.4 kB
06 TensorFlow Basics/025 Introduction to TensorFlow-subtitle-en.srt 2.4 kB
04 Crash Course Overview/007 Crash Course Section Introduction-subtitle-en.srt 2.1 kB
08 Recurrent Neural Networks/062 Quick Note on RNN Plotting Part 3.html 2.0 kB
08 Recurrent Neural Networks/054 Introduction to RNN Section-subtitle-en.srt 1.8 kB
01 Introduction/003 FAQ - Frequently Asked Questions.html 1.6 kB
05 Introduction to Neural Networks/014 Introduction to Neural Networks-subtitle-en.srt 1.5 kB
09 Miscellaneous Topics/070 Intro to Miscellaneous Topics.html 1.5 kB
07 Convolutional Neural Networks/040 Introduction to Convolutional Neural Network Section-subtitle-en.srt 1.3 kB
07 Convolutional Neural Networks/043 Quick note on MNIST lecture.html 1.3 kB
06 TensorFlow Basics/external_links.txt 240 Bytes
11 Reinforcement Learning with OpenAI Gym/external_links.txt 141 Bytes
05 Introduction to Neural Networks/external_links.txt 137 Bytes
03 What is Machine Learning_/external_links.txt 130 Bytes
10 AutoEncoders/external_links.txt 130 Bytes
07 Convolutional Neural Networks/external_links.txt 122 Bytes
08 Recurrent Neural Networks/external_links.txt 122 Bytes

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