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Название [FreeCourseSite.com] Udemy - Complete Guide to TensorFlow for Deep Learning with Python
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001 Introduction.mp4 11.95Мб
001 Introduction-subtitle-en.srt 4.50Кб
002 Course Overview -- PLEASE DON'T SKIP THIS LECTURE! Thanks _).mp4 16.38Мб
002 Course Overview -- PLEASE DON'T SKIP THIS LECTURE! Thanks _)-subtitle-en.srt 17.17Кб
002 FULL-TENSORFLOW-NOTES-AND-DATA.zip 299.65Мб
003 FAQ - Frequently Asked Questions.html 1.53Кб
003 FULL-TENSORFLOW-NOTES-AND-DATA.zip 299.65Мб
004 Quick Note for MacOS and Linux Users.html 3.04Кб
005 Installing TensorFlow Environment.mp4 27.82Мб
005 Installing TensorFlow Environment-subtitle-en.srt 20.39Кб
006 Machine Learning Overview.mp4 30.43Мб
006 Machine Learning Overview-subtitle-en.srt 27.50Кб
007 Crash Course Section Introduction.mp4 2.15Мб
007 Crash Course Section Introduction-subtitle-en.srt 2.02Кб
008 NumPy Crash Course.mp4 32.51Мб
008 NumPy Crash Course-subtitle-en.srt 24.26Кб
009 Pandas Crash Course.mp4 9.02Мб
009 Pandas Crash Course-subtitle-en.srt 6.93Кб
010 Data Visualization Crash Course.mp4 19.51Мб
010 Data Visualization Crash Course-subtitle-en.srt 11.81Кб
011 SciKit Learn Preprocessing Overview.mp4 20.29Мб
011 SciKit Learn Preprocessing Overview-subtitle-en.srt 14.20Кб
012 Crash Course Review Exercise.mp4 7.66Мб
012 Crash Course Review Exercise-subtitle-en.srt 3.77Кб
013 Crash Course Review Exercise - Solutions.mp4 17.39Мб
013 Crash Course Review Exercise - Solutions-subtitle-en.srt 9.45Кб
014 Introduction to Neural Networks.mp4 1.59Мб
014 Introduction to Neural Networks-subtitle-en.srt 1.50Кб
015 Introduction to Perceptron.mp4 6.79Мб
015 Introduction to Perceptron-subtitle-en.srt 8.06Кб
016 Neural Network Activation Functions.mp4 8.62Мб
016 Neural Network Activation Functions-subtitle-en.srt 9.84Кб
017 Cost Functions.mp4 4.99Мб
017 Cost Functions-subtitle-en.srt 5.43Кб
018 Gradient Descent Backpropagation.mp4 4.60Мб
018 Gradient Descent Backpropagation-subtitle-en.srt 5.46Кб
019 TensorFlow Playground.mp4 27.22Мб
019 TensorFlow Playground-subtitle-en.srt 15.91Кб
020 Manual Creation of Neural Network - Part One.mp4 12.54Мб
020 Manual Creation of Neural Network - Part One-subtitle-en.srt 9.07Кб
021 Manual Creation of Neural Network - Part Two - Operations.mp4 11.41Мб
021 Manual Creation of Neural Network - Part Two - Operations-subtitle-en.srt 11.92Кб
022 Manual Creation of Neural Network - Part Three - Placeholders and Variables.mp4 13.26Мб
022 Manual Creation of Neural Network - Part Three - Placeholders and Variables-subtitle-en.srt 13.06Кб
023 Manual Creation of Neural Network - Part Four - Session.mp4 25.16Мб
023 Manual Creation of Neural Network - Part Four - Session-subtitle-en.srt 13.91Кб
024 Manual Neural Network Classification Task.mp4 40.52Мб
024 Manual Neural Network Classification Task-subtitle-en.srt 25.04Кб
025 Introduction to TensorFlow.mp4 1.97Мб
025 Introduction to TensorFlow-subtitle-en.srt 2.31Кб
026 TensorFlow Basic Syntax.mp4 18.99Мб
026 TensorFlow Basic Syntax-subtitle-en.srt 20.62Кб
027 TensorFlow Graphs.mp4 8.54Мб
027 TensorFlow Graphs-subtitle-en.srt 8.96Кб
028 Variables and Placeholders.mp4 12.84Мб
028 Variables and Placeholders-subtitle-en.srt 9.30Кб
029 TensorFlow - A Neural Network - Part One.mp4 11.64Мб
029 TensorFlow - A Neural Network - Part One-subtitle-en.srt 11.44Кб
030 TensorFlow - A Neural Network - Part Two.mp4 32.51Мб
030 TensorFlow - A Neural Network - Part Two-subtitle-en.srt 29.89Кб
031 TensorFlow Regression Example - Part One.mp4 30.06Мб
031 TensorFlow Regression Example - Part One-subtitle-en.srt 29.91Кб
032 TensorFlow Regression Example _ Part Two.mp4 57.79Мб
032 TensorFlow Regression Example _ Part Two-subtitle-en.srt 34.00Кб
033 TensorFlow Classification Example - Part One.mp4 23.76Мб
033 TensorFlow Classification Example - Part One-subtitle-en.srt 20.49Кб
034 TensorFlow Classification Example - Part Two.mp4 31.94Мб
034 TensorFlow Classification Example - Part Two-subtitle-en.srt 17.57Кб
035 TF Regression Exercise.mp4 7.96Мб
035 TF Regression Exercise-subtitle-en.srt 5.52Кб
036 TF Regression Exercise Solution Walkthrough.mp4 27.76Мб
036 TF Regression Exercise Solution Walkthrough-subtitle-en.srt 17.82Кб
037 TF Classification Exercise.mp4 8.95Мб
037 TF Classification Exercise-subtitle-en.srt 7.90Кб
038 TF Classification Exercise Solution Walkthrough.mp4 21.72Мб
038 TF Classification Exercise Solution Walkthrough-subtitle-en.srt 17.44Кб
039 Saving and Restoring Models.mp4 15.44Мб
039 Saving and Restoring Models-subtitle-en.srt 10.50Кб
040 Introduction to Convolutional Neural Network Section.mp4 1.17Мб
040 Introduction to Convolutional Neural Network Section-subtitle-en.srt 1.31Кб
041 Review of Neural Networks.mp4 3.39Мб
041 Review of Neural Networks-subtitle-en.srt 4.00Кб
042 New Theory Topics.mp4 19.70Мб
042 New Theory Topics-subtitle-en.srt 23.26Кб
043 Quick note on MNIST lecture.html 1.25Кб
044 MNIST Data Overview.mp4 6.57Мб
044 MNIST Data Overview-subtitle-en.srt 6.63Кб
045 MNIST Basic Approach Part One.mp4 12.11Мб
045 MNIST Basic Approach Part One-subtitle-en.srt 13.23Кб
046 MNIST Basic Approach Part Two.mp4 34.94Мб
046 MNIST Basic Approach Part Two-subtitle-en.srt 24.74Кб
047 CNN Theory Part One.mp4 26.57Мб
047 CNN Theory Part One-subtitle-en.srt 28.24Кб
048 CNN Theory Part Two.mp4 6.55Мб
048 CNN Theory Part Two-subtitle-en.srt 6.77Кб
049 CNN MNIST Code Along - Part One.mp4 26.21Мб
049 CNN MNIST Code Along - Part One-subtitle-en.srt 24.43Кб
050 CNN MNIST Code Along - Part Two.mp4 9.65Мб
050 CNN MNIST Code Along - Part Two-subtitle-en.srt 7.87Кб
051 Introduction to CNN Project.mp4 16.06Мб
051 Introduction to CNN Project-subtitle-en.srt 10.36Кб
052 CNN Project Exercise Solution - Part One.mp4 50.15Мб
052 CNN Project Exercise Solution - Part One-subtitle-en.srt 23.21Кб
053 CNN Project Exercise Solution - Part Two.mp4 27.01Мб
053 CNN Project Exercise Solution - Part Two-subtitle-en.srt 17.09Кб
054 Introduction to RNN Section.mp4 1.57Мб
054 Introduction to RNN Section-subtitle-en.srt 1.80Кб
055 RNN Theory.mp4 10.27Мб
055 RNN Theory-subtitle-en.srt 12.47Кб
056 Manual Creation of RNN.mp4 16.64Мб
056 Manual Creation of RNN-subtitle-en.srt 16.64Кб
057 Vanishing Gradients.mp4 6.05Мб
057 Vanishing Gradients-subtitle-en.srt 6.92Кб
058 LSTM and GRU Theory.mp4 12.91Мб
058 LSTM and GRU Theory-subtitle-en.srt 15.01Кб
059 Introduction to RNN with TensorFlow API.mp4 6.26Мб
059 Introduction to RNN with TensorFlow API-subtitle-en.srt 7.29Кб
060 RNN with TensorFlow - Part One.mp4 34.09Мб
060 RNN with TensorFlow - Part One-subtitle-en.srt 28.58Кб
061 RNN with TensorFlow - Part Two.mp4 30.32Мб
061 RNN with TensorFlow - Part Two-subtitle-en.srt 27.00Кб
062 Quick Note on RNN Plotting Part 3.html 1.98Кб
063 RNN with TensorFlow - Part Three.mp4 12.67Мб
063 RNN with TensorFlow - Part Three-subtitle-en.srt 11.04Кб
064 Time Series Exercise Overview.mp4 13.64Мб
064 Time Series Exercise Overview-subtitle-en.srt 12.14Кб
065 Time Series Exercise Solution.mp4 35.12Мб
065 Time Series Exercise Solution-subtitle-en.srt 25.49Кб
066 Quick Note on Word2Vec.mp4 6.05Мб
066 Quick Note on Word2Vec-subtitle-en.srt 5.00Кб
067 Word2Vec Theory.mp4 16.55Мб
067 Word2Vec Theory-subtitle-en.srt 18.80Кб
068 Word2Vec Code Along - Part One.mp4 35.53Мб
068 Word2Vec Code Along - Part One-subtitle-en.srt 25.86Кб
069 Word2Vec Part Two.mp4 33.38Мб
069 Word2Vec Part Two-subtitle-en.srt 17.45Кб
070 Intro to Miscellaneous Topics.html 1.46Кб
070 Miscellaneous-Topics.zip 74.05Кб
071 Deep Nets with Tensorflow Abstractions API - Part One.mp4 16.25Мб
071 Deep Nets with Tensorflow Abstractions API - Part One-subtitle-en.srt 11.20Кб
072 Deep Nets with Tensorflow Abstractions API - Estimator API.mp4 18.69Мб
072 Deep Nets with Tensorflow Abstractions API - Estimator API-subtitle-en.srt 11.24Кб
073 Deep Nets with Tensorflow Abstractions API - Keras.mp4 33.37Мб
073 Deep Nets with Tensorflow Abstractions API - Keras-subtitle-en.srt 18.92Кб
074 Deep Nets with Tensorflow Abstractions API - Layers.mp4 28.72Мб
074 Deep Nets with Tensorflow Abstractions API - Layers-subtitle-en.srt 15.87Кб
075 Tensorboard.mp4 39.96Мб
075 Tensorboard-subtitle-en.srt 26.68Кб
076 Autoencoder Basics.mp4 13.91Мб
076 Autoencoder Basics-subtitle-en.srt 13.33Кб
077 Dimensionality Reduction with Linear Autoencoder.mp4 37.58Мб
077 Dimensionality Reduction with Linear Autoencoder-subtitle-en.srt 25.97Кб
078 Linear Autoencoder PCA Exercise Overview.mp4 6.15Мб
078 Linear Autoencoder PCA Exercise Overview-subtitle-en.srt 2.94Кб
079 Linear Autoencoder PCA Exercise Solutions.mp4 22.88Мб
079 Linear Autoencoder PCA Exercise Solutions-subtitle-en.srt 11.69Кб
080 Stacked Autoencoder.mp4 43.92Мб
080 Stacked Autoencoder-subtitle-en.srt 29.31Кб
081 Introduction to Reinforcement Learning with OpenAI Gym.mp4 7.98Мб
081 Introduction to Reinforcement Learning with OpenAI Gym-subtitle-en.srt 6.78Кб
082 Extra Resources for Reinforcement Learning.html 2.34Кб
083 Introduction to OpenAI Gym.mp4 13.94Мб
083 Introduction to OpenAI Gym-subtitle-en.srt 9.32Кб
084 OpenAI Gym Steup.mp4 14.77Мб
084 OpenAI Gym Steup-subtitle-en.srt 12.30Кб
085 Open AI Gym Env Basics.mp4 9.97Мб
085 Open AI Gym Env Basics-subtitle-en.srt 9.67Кб
086 Open AI Gym Observations.mp4 15.36Мб
086 Open AI Gym Observations-subtitle-en.srt 13.89Кб
087 OpenAI Gym Actions.mp4 14.79Мб
087 OpenAI Gym Actions-subtitle-en.srt 13.25Кб
088 Simple Neural Network Game.mp4 35.82Мб
088 Simple Neural Network Game-subtitle-en.srt 24.46Кб
089 Policy Gradient Theory.mp4 13.70Мб
089 Policy Gradient Theory-subtitle-en.srt 12.34Кб
090 Policy Gradient Code Along Part One.mp4 26.00Мб
090 Policy Gradient Code Along Part One-subtitle-en.srt 17.15Кб
091 Policy Gradient Code Along Part Two.mp4 32.85Мб
091 Policy Gradient Code Along Part Two-subtitle-en.srt 17.47Кб
092 Introduction to GANs.mp4 13.49Мб
092 Introduction to GANs-subtitle-en.srt 11.37Кб
093 GAN Code Along - Part One.mp4 19.49Мб
093 GAN Code Along - Part One-subtitle-en.srt 13.67Кб
094 GAN Code Along - Part Two.mp4 29.28Мб
094 GAN Code Along - Part Two-subtitle-en.srt 16.75Кб
095 GAN Code Along - Part Three.mp4 27.56Мб
095 GAN Code Along - Part Three-subtitle-en.srt 16.78Кб
096 Bonus Lecture_ Discounts for for My Other Courses.html 4.80Кб
external_links.txt 130б
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