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Урок 1. 00:03:05Introduction
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Урок 2. 00:09:25Course Overview -- PLEASE DON'T SKIP THIS LECTURE! Thanks :)
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Урок 3. 00:12:02Installing TensorFlow and Environment Setup
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Урок 4. 00:17:17Machine Learning Overview
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Урок 5. 00:01:13Crash Course Section Introduction
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Урок 6. 00:15:33NumPy Crash Course
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Урок 7. 00:04:24Pandas Crash Course
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Урок 8. 00:07:42Data Visualization Crash Course
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Урок 9. 00:09:05SciKit Learn Preprocessing Overview
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Урок 10. 00:02:08Crash Course Review Exercise
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Урок 11. 00:06:00Crash Course Review Exercise - Solutions
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Урок 12. 00:01:07Introduction to Neural Networks
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Урок 13. 00:05:13Introduction to Perceptron
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Урок 14. 00:06:31Neural Network Activation Functions
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Урок 15. 00:03:41Cost Functions
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Урок 16. 00:03:21Gradient Descent Backpropagation
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Урок 17. 00:08:49TensorFlow Playground
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Урок 18. 00:06:18Manual Creation of Neural Network - Part One
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Урок 19. 00:07:56Manual Creation of Neural Network - Part Two - Operations
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Урок 20. 00:08:58Manual Creation of Neural Network - Part Three - Placeholders and Variables
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Урок 21. 00:09:49Manual Creation of Neural Network - Part Four - Session
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Урок 22. 00:16:29Manual Neural Network Classification Task
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Урок 23. 00:01:27Introduction to TensorFlow
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Урок 24. 00:12:41TensorFlow Basic Syntax
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Урок 25. 00:05:49TensorFlow Graphs
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Урок 26. 00:05:58Variables and Placeholders
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Урок 27. 00:07:48TensorFlow - A Neural Network - Part One
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Урок 28. 00:19:51TensorFlow - A Neural Network - Part Two
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Урок 29. 00:19:44TensorFlow Regression Example - Part One
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Урок 30. 00:22:05TensorFlow Regression Example _ Part Two
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Урок 31. 00:14:01TensorFlow Classification Example - Part One
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Урок 32. 00:12:47TensorFlow Classification Example - Part Two
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Урок 33. 00:03:21TF Regression Exercise
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Урок 34. 00:12:35TF Regression Exercise Solution Walkthrough
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Урок 35. 00:04:27TF Classification Exercise
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Урок 36. 00:11:28TF Classification Exercise Solution Walkthrough
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Урок 37. 00:05:55Saving and Restoring Models
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Урок 38. 00:00:50Introduction to Convolutional Neural Network Section
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Урок 39. 00:02:33Review of Neural Networks
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Урок 40. 00:14:51New Theory Topics
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Урок 41. 00:04:47MNIST Data Overview
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Урок 42. 00:08:30MNIST Basic Approach Part One
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Урок 43. 00:16:48MNIST Basic Approach Part Two
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Урок 44. 00:18:42CNN Theory Part One
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Урок 45. 00:04:33CNN Theory Part Two
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Урок 46. 00:17:26CNN MNIST Code Along - Part One
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Урок 47. 00:06:06CNN MNIST Code Along - Part Two
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Урок 48. 00:06:02Introduction to CNN Project
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Урок 49. 00:15:26CNN Project Exercise Solution - Part One
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Урок 50. 00:13:00CNN Project Exercise Solution - Part Two
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Урок 51. 00:01:08Introduction to RNN Section
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Урок 52. 00:07:58RNN Theory
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Урок 53. 00:11:58Manual Creation of RNN
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Урок 54. 00:04:38Vanishing Gradients
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Урок 55. 00:09:50LSTM and GRU Theory
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Урок 56. 00:04:39Introduction to RNN with TensorFlow API
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Урок 57. 00:20:51RNN with TensorFlow - Part One
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Урок 58. 00:19:01RNN with TensorFlow - Part Two
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Урок 59. 00:08:02RNN with TensorFlow - Part Three
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Урок 60. 00:07:04Time Series Exercise Overview
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Урок 61. 00:18:18Time Series Exercise Solution
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Урок 62. 00:02:50Quick Note on Word2Vec
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Урок 63. 00:12:03Word2Vec Theory
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Урок 64. 00:16:48Word2Vec Code Along - Part One
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Урок 65. 00:13:12Word2Vec Part Two
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Урок 66. 00:07:13Deep Nets with Tensorflow Abstractions API - Part One
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Урок 67. 00:07:26Deep Nets with Tensorflow Abstractions API - Estimator API
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Урок 68. 00:11:56Deep Nets with Tensorflow Abstractions API - Keras
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Урок 69. 00:11:03Deep Nets with Tensorflow Abstractions API - Layers
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Урок 70. 00:16:08Tensorboard
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Урок 71. 00:07:58Autoencoder Basics
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Урок 72. 00:17:26Dimensionality Reduction with Linear Autoencoder
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Урок 73. 00:01:45Linear Autoencoder PCA Exercise Overview
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Урок 74. 00:07:52Linear Autoencoder PCA Exercise Solutions
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Урок 75. 00:19:34Stacked Autoencoder
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Урок 76. 00:04:19Introduction to Reinforcement Learning with OpenAI Gym
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Урок 77. 00:05:38Introduction to OpenAI Gym
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Урок 78. 00:07:20OpenAI Gym Steup
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Урок 79. 00:05:42Open AI Gym Env Basics
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Урок 80. 00:08:06Open AI Gym Observations
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Урок 81. 00:08:03OpenAI Gym Actions
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Урок 82. 00:16:21Simple Neural Network Game
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Урок 83. 00:07:40Policy Gradient Theory
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Урок 84. 00:11:26Policy Gradient Code Along Part One
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Урок 85. 00:12:23Policy Gradient Code Along Part Two
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Урок 86. 00:07:14Introduction to GANs
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Урок 87. 00:09:07GAN Code Along - Part One
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Урок 88. 00:11:27GAN Code Along - Part Two
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Урок 89. 00:11:56GAN Code Along - Part Three
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