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[DesireCourse.Com] Udemy - Complete Guide to TensorFlow for Deep Learning with Python

文件类型 收录时间 最后活跃 资源热度 文件大小 文件数量
视频 2018-9-6 20:40 2024-6-4 18:16 281 1.67 GB 89
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DesireCourse Com Udemy - Complete Guide to TensorFlow for Deep Learning with Python

文件列表
  1. 01 Introduction/001 Introduction.mp411.95MB
  2. 01 Introduction/002 Course Overview -- PLEASE DON'T SKIP THIS LECTURE! Thanks _).mp416.38MB
  3. 02 Installation and Setup/005 Installing TensorFlow Environment.mp427.82MB
  4. 03 What is Machine Learning_/006 Machine Learning Overview.mp430.43MB
  5. 04 Crash Course Overview/007 Crash Course Section Introduction.mp42.15MB
  6. 04 Crash Course Overview/008 NumPy Crash Course.mp432.51MB
  7. 04 Crash Course Overview/009 Pandas Crash Course.mp49.02MB
  8. 04 Crash Course Overview/010 Data Visualization Crash Course.mp419.51MB
  9. 04 Crash Course Overview/011 SciKit Learn Preprocessing Overview.mp420.29MB
  10. 04 Crash Course Overview/012 Crash Course Review Exercise.mp47.66MB
  11. 04 Crash Course Overview/013 Crash Course Review Exercise - Solutions.mp417.39MB
  12. 05 Introduction to Neural Networks/014 Introduction to Neural Networks.mp41.59MB
  13. 05 Introduction to Neural Networks/015 Introduction to Perceptron.mp46.79MB
  14. 05 Introduction to Neural Networks/016 Neural Network Activation Functions.mp48.62MB
  15. 05 Introduction to Neural Networks/017 Cost Functions.mp44.99MB
  16. 05 Introduction to Neural Networks/018 Gradient Descent Backpropagation.mp44.6MB
  17. 05 Introduction to Neural Networks/019 TensorFlow Playground.mp427.22MB
  18. 05 Introduction to Neural Networks/020 Manual Creation of Neural Network - Part One.mp412.54MB
  19. 05 Introduction to Neural Networks/021 Manual Creation of Neural Network - Part Two - Operations.mp411.41MB
  20. 05 Introduction to Neural Networks/022 Manual Creation of Neural Network - Part Three - Placeholders and Variables.mp413.26MB
  21. 05 Introduction to Neural Networks/023 Manual Creation of Neural Network - Part Four - Session.mp425.16MB
  22. 05 Introduction to Neural Networks/024 Manual Neural Network Classification Task.mp440.52MB
  23. 06 TensorFlow Basics/025 Introduction to TensorFlow.mp41.97MB
  24. 06 TensorFlow Basics/026 TensorFlow Basic Syntax.mp418.99MB
  25. 06 TensorFlow Basics/027 TensorFlow Graphs.mp48.54MB
  26. 06 TensorFlow Basics/028 Variables and Placeholders.mp412.84MB
  27. 06 TensorFlow Basics/029 TensorFlow - A Neural Network - Part One.mp411.64MB
  28. 06 TensorFlow Basics/030 TensorFlow - A Neural Network - Part Two.mp432.51MB
  29. 06 TensorFlow Basics/031 TensorFlow Regression Example - Part One.mp430.06MB
  30. 06 TensorFlow Basics/032 TensorFlow Regression Example _ Part Two.mp457.79MB
  31. 06 TensorFlow Basics/033 TensorFlow Classification Example - Part One.mp423.76MB
  32. 06 TensorFlow Basics/034 TensorFlow Classification Example - Part Two.mp431.94MB
  33. 06 TensorFlow Basics/035 TF Regression Exercise.mp47.96MB
  34. 06 TensorFlow Basics/036 TF Regression Exercise Solution Walkthrough.mp427.76MB
  35. 06 TensorFlow Basics/037 TF Classification Exercise.mp48.95MB
  36. 06 TensorFlow Basics/038 TF Classification Exercise Solution Walkthrough.mp421.72MB
  37. 06 TensorFlow Basics/039 Saving and Restoring Models.mp415.44MB
  38. 07 Convolutional Neural Networks/040 Introduction to Convolutional Neural Network Section.mp41.17MB
  39. 07 Convolutional Neural Networks/041 Review of Neural Networks.mp43.39MB
  40. 07 Convolutional Neural Networks/042 New Theory Topics.mp419.7MB
  41. 07 Convolutional Neural Networks/044 MNIST Data Overview.mp46.57MB
  42. 07 Convolutional Neural Networks/045 MNIST Basic Approach Part One.mp412.11MB
  43. 07 Convolutional Neural Networks/046 MNIST Basic Approach Part Two.mp434.94MB
  44. 07 Convolutional Neural Networks/047 CNN Theory Part One.mp426.57MB
  45. 07 Convolutional Neural Networks/048 CNN Theory Part Two.mp46.55MB
  46. 07 Convolutional Neural Networks/049 CNN MNIST Code Along - Part One.mp426.21MB
  47. 07 Convolutional Neural Networks/050 CNN MNIST Code Along - Part Two.mp49.65MB
  48. 07 Convolutional Neural Networks/051 Introduction to CNN Project.mp416.06MB
  49. 07 Convolutional Neural Networks/052 CNN Project Exercise Solution - Part One.mp450.15MB
  50. 07 Convolutional Neural Networks/053 CNN Project Exercise Solution - Part Two.mp427.01MB
  51. 08 Recurrent Neural Networks/054 Introduction to RNN Section.mp41.57MB
  52. 08 Recurrent Neural Networks/055 RNN Theory.mp410.27MB
  53. 08 Recurrent Neural Networks/056 Manual Creation of RNN.mp416.64MB
  54. 08 Recurrent Neural Networks/057 Vanishing Gradients.mp46.05MB
  55. 08 Recurrent Neural Networks/058 LSTM and GRU Theory.mp412.91MB
  56. 08 Recurrent Neural Networks/059 Introduction to RNN with TensorFlow API.mp46.26MB
  57. 08 Recurrent Neural Networks/060 RNN with TensorFlow - Part One.mp434.09MB
  58. 08 Recurrent Neural Networks/061 RNN with TensorFlow - Part Two.mp430.32MB
  59. 08 Recurrent Neural Networks/063 RNN with TensorFlow - Part Three.mp412.67MB
  60. 08 Recurrent Neural Networks/064 Time Series Exercise Overview.mp413.64MB
  61. 08 Recurrent Neural Networks/065 Time Series Exercise Solution.mp435.12MB
  62. 08 Recurrent Neural Networks/066 Quick Note on Word2Vec.mp46.05MB
  63. 08 Recurrent Neural Networks/067 Word2Vec Theory.mp416.55MB
  64. 08 Recurrent Neural Networks/068 Word2Vec Code Along - Part One.mp435.53MB
  65. 08 Recurrent Neural Networks/069 Word2Vec Part Two.mp433.38MB
  66. 09 Miscellaneous Topics/071 Deep Nets with Tensorflow Abstractions API - Part One.mp416.25MB
  67. 09 Miscellaneous Topics/072 Deep Nets with Tensorflow Abstractions API - Estimator API.mp418.69MB
  68. 09 Miscellaneous Topics/073 Deep Nets with Tensorflow Abstractions API - Keras.mp433.37MB
  69. 09 Miscellaneous Topics/074 Deep Nets with Tensorflow Abstractions API - Layers.mp428.72MB
  70. 09 Miscellaneous Topics/075 Tensorboard.mp439.96MB
  71. 10 AutoEncoders/076 Autoencoder Basics.mp413.91MB
  72. 10 AutoEncoders/077 Dimensionality Reduction with Linear Autoencoder.mp437.58MB
  73. 10 AutoEncoders/078 Linear Autoencoder PCA Exercise Overview.mp46.15MB
  74. 10 AutoEncoders/079 Linear Autoencoder PCA Exercise Solutions.mp422.88MB
  75. 10 AutoEncoders/080 Stacked Autoencoder.mp443.92MB
  76. 11 Reinforcement Learning with OpenAI Gym/081 Introduction to Reinforcement Learning with OpenAI Gym.mp47.98MB
  77. 11 Reinforcement Learning with OpenAI Gym/083 Introduction to OpenAI Gym.mp413.94MB
  78. 11 Reinforcement Learning with OpenAI Gym/084 OpenAI Gym Steup.mp414.77MB
  79. 11 Reinforcement Learning with OpenAI Gym/085 Open AI Gym Env Basics.mp49.97MB
  80. 11 Reinforcement Learning with OpenAI Gym/086 Open AI Gym Observations.mp415.36MB
  81. 11 Reinforcement Learning with OpenAI Gym/087 OpenAI Gym Actions.mp414.79MB
  82. 11 Reinforcement Learning with OpenAI Gym/088 Simple Neural Network Game.mp435.82MB
  83. 11 Reinforcement Learning with OpenAI Gym/089 Policy Gradient Theory.mp413.7MB
  84. 11 Reinforcement Learning with OpenAI Gym/090 Policy Gradient Code Along Part One.mp426MB
  85. 11 Reinforcement Learning with OpenAI Gym/091 Policy Gradient Code Along Part Two.mp432.85MB
  86. 12 GAN - Generative Adversarial Networks/092 Introduction to GANs.mp413.49MB
  87. 12 GAN - Generative Adversarial Networks/093 GAN Code Along - Part One.mp419.49MB
  88. 12 GAN - Generative Adversarial Networks/094 GAN Code Along - Part Two.mp429.28MB
  89. 12 GAN - Generative Adversarial Networks/095 GAN Code Along - Part Three.mp427.56MB
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