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[] Udemy - Deep Learning Recurrent Neural Networks in Python

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  • 文件大小:1GB
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文件列表

  1. 8. Appendix FAQ/3. Windows-Focused Environment Setup 2018.mp4 186MB
  2. 7. Basics Review/4. (Review) Tensorflow Neural Network in Code.mp4 97MB
  3. 7. Basics Review/1. (Review) Theano Basics.mp4 93MB
  4. 7. Basics Review/2. (Review) Theano Neural Network in Code.mp4 87MB
  5. 7. Basics Review/3. (Review) Tensorflow Basics.mp4 81MB
  6. 8. Appendix FAQ/9. Proof that using Jupyter Notebook is the same as not using it.mp4 78MB
  7. 3. Recurrent Neural Networks for NLP/5. Generating Poetry in Code (part 1).mp4 52MB
  8. 4. Advanced RNN Units/9. Learning from Wikipedia Data in Code (part 1).mp4 49MB
  9. 3. Recurrent Neural Networks for NLP/8. Classifying Poetry in Code.mp4 46MB
  10. 8. Appendix FAQ/4. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 44MB
  11. 8. Appendix FAQ/8. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 39MB
  12. 2. The Simple Recurrent Unit/6. The Parity Problem in Code using a Feedforward ANN.mp4 38MB
  13. 8. Appendix FAQ/10. BONUS Where to get Udemy coupons and FREE deep learning material.mp4 38MB
  14. 8. Appendix FAQ/14. What order should I take your courses in (part 2).mp4 38MB
  15. 2. The Simple Recurrent Unit/8. The Parity Problem in Code using a Recurrent Neural Network.mp4 37MB
  16. 8. Appendix FAQ/13. What order should I take your courses in (part 1).mp4 29MB
  17. 4. Advanced RNN Units/10. Learning from Wikipedia Data in Code (part 2).mp4 26MB
  18. 4. Advanced RNN Units/2. RRNN in Code - Revisiting Poetry Generation.mp4 25MB
  19. 8. Appendix FAQ/5. How to Code by Yourself (part 1).mp4 25MB
  20. 2. The Simple Recurrent Unit/7. Theano Scan Tutorial.mp4 24MB
  21. 4. Advanced RNN Units/11. Visualizing the Word Embeddings.mp4 23MB
  22. 1. Introduction and Outline/5. Preprocessed Wikipedia Data.mp4 22MB
  23. 4. Advanced RNN Units/6. LSTM in Code.mp4 19MB
  24. 8. Appendix FAQ/12. Is Theano Dead.mp4 18MB
  25. 5. Batch Training/1. Batch Training for Simple RNN.mp4 17MB
  26. 2. The Simple Recurrent Unit/10. Suggestion Box.mp4 16MB
  27. 4. Advanced RNN Units/4. GRU in Code.mp4 15MB
  28. 8. Appendix FAQ/6. How to Code by Yourself (part 2).mp4 15MB
  29. 3. Recurrent Neural Networks for NLP/6. Generating Poetry in Code (part 2).mp4 14MB
  30. 8. Appendix FAQ/7. How to Succeed in this Course (Long Version).mp4 13MB
  31. 4. Advanced RNN Units/7. Learning from Wikipedia Data.mp4 13MB
  32. 4. Advanced RNN Units/8. Alternative to Wikipedia Data Brown Corpus.mp4 12MB
  33. 6. TensorFlow/1. Simple RNN in TensorFlow.mp4 12MB
  34. 4. Advanced RNN Units/3. Gated Recurrent Unit (GRU).mp4 9MB
  35. 2. The Simple Recurrent Unit/2. Prediction and Relationship to Markov Models.mp4 9MB
  36. 3. Recurrent Neural Networks for NLP/1. Word Embeddings and Recurrent Neural Networks.mp4 9MB
  37. 8. Appendix FAQ/11. Python 2 vs Python 3.mp4 8MB
  38. 2. The Simple Recurrent Unit/5. The Parity Problem - XOR on Steroids.mp4 8MB
  39. 2. The Simple Recurrent Unit/1. Architecture of a Recurrent Unit.mp4 8MB
  40. 4. Advanced RNN Units/5. Long Short-Term Memory (LSTM).mp4 8MB
  41. 3. Recurrent Neural Networks for NLP/4. Generating Poetry.mp4 8MB
  42. 2. The Simple Recurrent Unit/4. Backpropagation Through Time (BPTT).mp4 7MB
  43. 3. Recurrent Neural Networks for NLP/7. Classifying Poetry.mp4 6MB
  44. 4. Advanced RNN Units/1. Rated RNN Unit.mp4 6MB
  45. 1. Introduction and Outline/2. Review of Important Deep Learning Concepts.mp4 6MB
  46. 8. Appendix FAQ/1. What is the Appendix.mp4 5MB
  47. 3. Recurrent Neural Networks for NLP/3. Representing a sequence of words as a sequence of word embeddings.mp4 5MB
  48. 1. Introduction and Outline/1. Outline of this Course.mp4 5MB
  49. 3. Recurrent Neural Networks for NLP/2. Word Analogies with Word Embeddings.mp4 4MB
  50. 8. Appendix FAQ/2. How to install wp2txt or WikiExtractor.py.mp4 4MB
  51. 1. Introduction and Outline/3. How to Succeed in this Course.mp4 3MB
  52. 2. The Simple Recurrent Unit/3. Unfolding a Recurrent Network.mp4 3MB
  53. 1. Introduction and Outline/4. Where to get the Code and Data.mp4 3MB
  54. 2. The Simple Recurrent Unit/9. On Adding Complexity.mp4 2MB
  55. 8. Appendix FAQ/8. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.srt 58KB
  56. 8. Appendix FAQ/14. What order should I take your courses in (part 2).srt 43KB
  57. 8. Appendix FAQ/5. How to Code by Yourself (part 1).srt 41KB
  58. 8. Appendix FAQ/3. Windows-Focused Environment Setup 2018.srt 36KB
  59. 8. Appendix FAQ/13. What order should I take your courses in (part 1).srt 29KB
  60. 8. Appendix FAQ/7. How to Succeed in this Course (Long Version).srt 26KB
  61. 8. Appendix FAQ/4. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.srt 25KB
  62. 8. Appendix FAQ/9. Proof that using Jupyter Notebook is the same as not using it.srt 25KB
  63. 8. Appendix FAQ/6. How to Code by Yourself (part 2).srt 24KB
  64. 8. Appendix FAQ/12. Is Theano Dead.srt 24KB
  65. 5. Batch Training/1. Batch Training for Simple RNN.srt 23KB
  66. 6. TensorFlow/1. Simple RNN in TensorFlow.srt 19KB
  67. 4. Advanced RNN Units/7. Learning from Wikipedia Data.srt 16KB
  68. 4. Advanced RNN Units/9. Learning from Wikipedia Data in Code (part 1).srt 15KB
  69. 3. Recurrent Neural Networks for NLP/5. Generating Poetry in Code (part 1).srt 15KB
  70. 4. Advanced RNN Units/8. Alternative to Wikipedia Data Brown Corpus.srt 15KB
  71. 7. Basics Review/1. (Review) Theano Basics.srt 13KB
  72. 2. The Simple Recurrent Unit/7. Theano Scan Tutorial.srt 13KB
  73. 3. Recurrent Neural Networks for NLP/8. Classifying Poetry in Code.srt 13KB
  74. 2. The Simple Recurrent Unit/8. The Parity Problem in Code using a Recurrent Neural Network.srt 12KB
  75. 2. The Simple Recurrent Unit/6. The Parity Problem in Code using a Feedforward ANN.srt 12KB
  76. 8. Appendix FAQ/11. Python 2 vs Python 3.srt 11KB
  77. 7. Basics Review/3. (Review) Tensorflow Basics.srt 10KB
  78. 4. Advanced RNN Units/11. Visualizing the Word Embeddings.srt 10KB
  79. 7. Basics Review/4. (Review) Tensorflow Neural Network in Code.srt 10KB
  80. 8. Appendix FAQ/10. BONUS Where to get Udemy coupons and FREE deep learning material.srt 8KB
  81. 2. The Simple Recurrent Unit/2. Prediction and Relationship to Markov Models.srt 8KB
  82. 1. Introduction and Outline/3. How to Succeed in this Course.srt 7KB
  83. 3. Recurrent Neural Networks for NLP/1. Word Embeddings and Recurrent Neural Networks.srt 7KB
  84. 4. Advanced RNN Units/3. Gated Recurrent Unit (GRU).srt 7KB
  85. 7. Basics Review/2. (Review) Theano Neural Network in Code.srt 7KB
  86. 2. The Simple Recurrent Unit/1. Architecture of a Recurrent Unit.srt 7KB
  87. 4. Advanced RNN Units/2. RRNN in Code - Revisiting Poetry Generation.srt 6KB
  88. 4. Advanced RNN Units/10. Learning from Wikipedia Data in Code (part 2).srt 6KB
  89. 8. Appendix FAQ/1. What is the Appendix.srt 6KB
  90. 2. The Simple Recurrent Unit/5. The Parity Problem - XOR on Steroids.srt 6KB
  91. 2. The Simple Recurrent Unit/4. Backpropagation Through Time (BPTT).srt 6KB
  92. 4. Advanced RNN Units/6. LSTM in Code.srt 6KB
  93. 3. Recurrent Neural Networks for NLP/4. Generating Poetry.srt 6KB
  94. 8. Appendix FAQ/2. How to install wp2txt or WikiExtractor.py.srt 6KB
  95. 4. Advanced RNN Units/5. Long Short-Term Memory (LSTM).srt 6KB
  96. 1. Introduction and Outline/2. Review of Important Deep Learning Concepts.srt 5KB
  97. 4. Advanced RNN Units/1. Rated RNN Unit.srt 5KB
  98. 2. The Simple Recurrent Unit/10. Suggestion Box.srt 5KB
  99. 1. Introduction and Outline/1. Outline of this Course.srt 5KB
  100. 3. Recurrent Neural Networks for NLP/7. Classifying Poetry.srt 5KB
  101. 3. Recurrent Neural Networks for NLP/3. Representing a sequence of words as a sequence of word embeddings.srt 4KB
  102. 4. Advanced RNN Units/4. GRU in Code.srt 4KB
  103. 1. Introduction and Outline/5. Preprocessed Wikipedia Data.srt 4KB
  104. 3. Recurrent Neural Networks for NLP/2. Word Analogies with Word Embeddings.srt 4KB
  105. 3. Recurrent Neural Networks for NLP/6. Generating Poetry in Code (part 2).srt 3KB
  106. 2. The Simple Recurrent Unit/3. Unfolding a Recurrent Network.srt 3KB
  107. 1. Introduction and Outline/4. Where to get the Code and Data.srt 3KB
  108. 2. The Simple Recurrent Unit/9. On Adding Complexity.srt 2KB
  109. Verify Files.txt 1KB
  110. 0. Websites you may like/[FreeAllCourse.Com].url 52B
  111. [FreeAllCourse.Com].url 52B