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[GigaCourse.com] Udemy - Complete Guide to TensorFlow for Deep Learning with Python

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视频 2020-10-23 12:01 2024-12-27 16:27 224 1.67 GB 89
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GigaCourse com Udemy - Complete Guide to TensorFlow for Deep Learning with Python

文件列表
  1. 1. Introduction/1. Introduction.mp411.96MB
  2. 1. Introduction/2. Course Overview -- PLEASE DON'T SKIP THIS LECTURE! Thanks ).mp416.38MB
  3. 10. AutoEncoders/1. Autoencoder Basics.mp413.92MB
  4. 10. AutoEncoders/2. Dimensionality Reduction with Linear Autoencoder.mp437.59MB
  5. 10. AutoEncoders/3. Linear Autoencoder PCA Exercise Overview.mp46.15MB
  6. 10. AutoEncoders/4. Linear Autoencoder PCA Exercise Solutions.mp422.89MB
  7. 10. AutoEncoders/5. Stacked Autoencoder.mp443.93MB
  8. 11. Reinforcement Learning with OpenAI Gym/1. Introduction to Reinforcement Learning with OpenAI Gym.mp47.99MB
  9. 11. Reinforcement Learning with OpenAI Gym/10. Policy Gradient Code Along Part One.mp426.01MB
  10. 11. Reinforcement Learning with OpenAI Gym/11. Policy Gradient Code Along Part Two.mp432.86MB
  11. 11. Reinforcement Learning with OpenAI Gym/3. Introduction to OpenAI Gym.mp413.95MB
  12. 11. Reinforcement Learning with OpenAI Gym/4. OpenAI Gym Steup.mp414.78MB
  13. 11. Reinforcement Learning with OpenAI Gym/5. Open AI Gym Env Basics.mp49.98MB
  14. 11. Reinforcement Learning with OpenAI Gym/6. Open AI Gym Observations.mp415.37MB
  15. 11. Reinforcement Learning with OpenAI Gym/7. OpenAI Gym Actions.mp414.8MB
  16. 11. Reinforcement Learning with OpenAI Gym/8. Simple Neural Network Game.mp435.83MB
  17. 11. Reinforcement Learning with OpenAI Gym/9. Policy Gradient Theory.mp413.71MB
  18. 12. GAN - Generative Adversarial Networks/1. Introduction to GANs.mp413.49MB
  19. 12. GAN - Generative Adversarial Networks/2. GAN Code Along - Part One.mp419.49MB
  20. 12. GAN - Generative Adversarial Networks/3. GAN Code Along - Part Two.mp429.29MB
  21. 12. GAN - Generative Adversarial Networks/4. GAN Code Along - Part Three.mp427.56MB
  22. 2. Installation and Setup/2. Installing TensorFlow and Environment Setup.mp427.82MB
  23. 3. What is Machine Learning/1. Machine Learning Overview.mp430.44MB
  24. 4. Crash Course Overview/1. Crash Course Section Introduction.mp42.16MB
  25. 4. Crash Course Overview/2. NumPy Crash Course.mp432.51MB
  26. 4. Crash Course Overview/3. Pandas Crash Course.mp49.02MB
  27. 4. Crash Course Overview/4. Data Visualization Crash Course.mp419.52MB
  28. 4. Crash Course Overview/5. SciKit Learn Preprocessing Overview.mp420.29MB
  29. 4. Crash Course Overview/6. Crash Course Review Exercise.mp47.67MB
  30. 4. Crash Course Overview/7. Crash Course Review Exercise - Solutions.mp417.39MB
  31. 5. Introduction to Neural Networks/1. Introduction to Neural Networks.mp41.59MB
  32. 5. Introduction to Neural Networks/10. Manual Creation of Neural Network - Part Four - Session.mp425.16MB
  33. 5. Introduction to Neural Networks/11. Manual Neural Network Classification Task.mp440.52MB
  34. 5. Introduction to Neural Networks/2. Introduction to Perceptron.mp46.8MB
  35. 5. Introduction to Neural Networks/3. Neural Network Activation Functions.mp48.63MB
  36. 5. Introduction to Neural Networks/4. Cost Functions.mp44.99MB
  37. 5. Introduction to Neural Networks/5. Gradient Descent Backpropagation.mp44.6MB
  38. 5. Introduction to Neural Networks/6. TensorFlow Playground.mp427.22MB
  39. 5. Introduction to Neural Networks/7. Manual Creation of Neural Network - Part One.mp412.55MB
  40. 5. Introduction to Neural Networks/8. Manual Creation of Neural Network - Part Two - Operations.mp411.42MB
  41. 5. Introduction to Neural Networks/9. Manual Creation of Neural Network - Part Three - Placeholders and Variables.mp413.26MB
  42. 6. TensorFlow Basics/1. Introduction to TensorFlow.mp41.98MB
  43. 6. TensorFlow Basics/10. TensorFlow Classification Example - Part Two.mp431.94MB
  44. 6. TensorFlow Basics/11. TF Regression Exercise.mp47.97MB
  45. 6. TensorFlow Basics/12. TF Regression Exercise Solution Walkthrough.mp427.76MB
  46. 6. TensorFlow Basics/13. TF Classification Exercise.mp48.95MB
  47. 6. TensorFlow Basics/14. TF Classification Exercise Solution Walkthrough.mp421.72MB
  48. 6. TensorFlow Basics/15. Saving and Restoring Models.mp415.44MB
  49. 6. TensorFlow Basics/2. TensorFlow Basic Syntax.mp419MB
  50. 6. TensorFlow Basics/3. TensorFlow Graphs.mp48.54MB
  51. 6. TensorFlow Basics/4. Variables and Placeholders.mp412.84MB
  52. 6. TensorFlow Basics/5. TensorFlow - A Neural Network - Part One.mp411.64MB
  53. 6. TensorFlow Basics/6. TensorFlow - A Neural Network - Part Two.mp432.52MB
  54. 6. TensorFlow Basics/7. TensorFlow Regression Example - Part One.mp430.07MB
  55. 6. TensorFlow Basics/8. TensorFlow Regression Example _ Part Two.mp457.8MB
  56. 6. TensorFlow Basics/9. TensorFlow Classification Example - Part One.mp423.77MB
  57. 7. Convolutional Neural Networks/1. Introduction to Convolutional Neural Network Section.mp41.17MB
  58. 7. Convolutional Neural Networks/10. CNN MNIST Code Along - Part One.mp426.22MB
  59. 7. Convolutional Neural Networks/11. CNN MNIST Code Along - Part Two.mp49.65MB
  60. 7. Convolutional Neural Networks/12. Introduction to CNN Project.mp416.06MB
  61. 7. Convolutional Neural Networks/13. CNN Project Exercise Solution - Part One.mp450.16MB
  62. 7. Convolutional Neural Networks/14. CNN Project Exercise Solution - Part Two.mp427.02MB
  63. 7. Convolutional Neural Networks/2. Review of Neural Networks.mp43.4MB
  64. 7. Convolutional Neural Networks/3. New Theory Topics.mp419.71MB
  65. 7. Convolutional Neural Networks/5. MNIST Data Overview.mp46.57MB
  66. 7. Convolutional Neural Networks/6. MNIST Basic Approach Part One.mp412.11MB
  67. 7. Convolutional Neural Networks/7. MNIST Basic Approach Part Two.mp434.94MB
  68. 7. Convolutional Neural Networks/8. CNN Theory Part One.mp426.57MB
  69. 7. Convolutional Neural Networks/9. CNN Theory Part Two.mp46.55MB
  70. 8. Recurrent Neural Networks/1. Introduction to RNN Section.mp41.57MB
  71. 8. Recurrent Neural Networks/10. RNN with TensorFlow - Part Three.mp412.67MB
  72. 8. Recurrent Neural Networks/11. Time Series Exercise Overview.mp413.65MB
  73. 8. Recurrent Neural Networks/12. Time Series Exercise Solution.mp435.13MB
  74. 8. Recurrent Neural Networks/13. Quick Note on Word2Vec.mp46.06MB
  75. 8. Recurrent Neural Networks/14. Word2Vec Theory.mp416.56MB
  76. 8. Recurrent Neural Networks/15. Word2Vec Code Along - Part One.mp435.54MB
  77. 8. Recurrent Neural Networks/16. Word2Vec Part Two.mp433.39MB
  78. 8. Recurrent Neural Networks/2. RNN Theory.mp410.27MB
  79. 8. Recurrent Neural Networks/3. Manual Creation of RNN.mp416.64MB
  80. 8. Recurrent Neural Networks/4. Vanishing Gradients.mp46.06MB
  81. 8. Recurrent Neural Networks/5. LSTM and GRU Theory.mp412.91MB
  82. 8. Recurrent Neural Networks/6. Introduction to RNN with TensorFlow API.mp46.26MB
  83. 8. Recurrent Neural Networks/7. RNN with TensorFlow - Part One.mp434.09MB
  84. 8. Recurrent Neural Networks/8. RNN with TensorFlow - Part Two.mp430.33MB
  85. 9. Miscellaneous Topics/2. Deep Nets with Tensorflow Abstractions API - Part One.mp416.26MB
  86. 9. Miscellaneous Topics/3. Deep Nets with Tensorflow Abstractions API - Estimator API.mp418.7MB
  87. 9. Miscellaneous Topics/4. Deep Nets with Tensorflow Abstractions API - Keras.mp433.38MB
  88. 9. Miscellaneous Topics/5. Deep Nets with Tensorflow Abstractions API - Layers.mp428.73MB
  89. 9. Miscellaneous Topics/6. Tensorboard.mp439.97MB
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