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[UdemyCourseDownloader] Deep Learning Recurrent Neural Networks in Python

  • 收录时间:2019-04-02 22:21:34
  • 文件大小:1GB
  • 下载次数:31
  • 最近下载:2020-10-31 22:10:06
  • 磁力链接:

文件列表

  1. 8. Appendix/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/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/4. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 44MB
  11. 8. Appendix/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/14. What order should I take your courses in (part 2).mp4 38MB
  14. 2. The Simple Recurrent Unit/8. The Parity Problem in Code using a Recurrent Neural Network.mp4 37MB
  15. 8. Appendix/13. What order should I take your courses in (part 1).mp4 29MB
  16. 4. Advanced RNN Units/10. Learning from Wikipedia Data in Code (part 2).mp4 26MB
  17. 4. Advanced RNN Units/2. RRNN in Code - Revisiting Poetry Generation.mp4 25MB
  18. 8. Appendix/5. How to Code by Yourself (part 1).mp4 25MB
  19. 2. The Simple Recurrent Unit/7. Theano Scan Tutorial.mp4 24MB
  20. 4. Advanced RNN Units/11. Visualizing the Word Embeddings.mp4 23MB
  21. 4. Advanced RNN Units/6. LSTM in Code.mp4 19MB
  22. 8. Appendix/12. Is Theano Dead.mp4 18MB
  23. 5. Batch Training/1. Batch Training for Simple RNN.mp4 17MB
  24. 4. Advanced RNN Units/4. GRU in Code.mp4 15MB
  25. 8. Appendix/6. How to Code by Yourself (part 2).mp4 15MB
  26. 3. Recurrent Neural Networks for NLP/6. Generating Poetry in Code (part 2).mp4 14MB
  27. 8. Appendix/7. How to Succeed in this Course (Long Version).mp4 13MB
  28. 4. Advanced RNN Units/7. Learning from Wikipedia Data.mp4 13MB
  29. 4. Advanced RNN Units/8. Alternative to Wikipedia Data Brown Corpus.mp4 12MB
  30. 6. TensorFlow/1. Simple RNN in TensorFlow.mp4 12MB
  31. 4. Advanced RNN Units/3. Gated Recurrent Unit (GRU).mp4 9MB
  32. 2. The Simple Recurrent Unit/2. Prediction and Relationship to Markov Models.mp4 9MB
  33. 3. Recurrent Neural Networks for NLP/1. Word Embeddings and Recurrent Neural Networks.mp4 9MB
  34. 8. Appendix/11. Python 2 vs Python 3.mp4 8MB
  35. 2. The Simple Recurrent Unit/5. The Parity Problem - XOR on Steroids.mp4 8MB
  36. 2. The Simple Recurrent Unit/1. Architecture of a Recurrent Unit.mp4 8MB
  37. 4. Advanced RNN Units/5. Long Short-Term Memory (LSTM).mp4 8MB
  38. 3. Recurrent Neural Networks for NLP/4. Generating Poetry.mp4 8MB
  39. 2. The Simple Recurrent Unit/4. Backpropagation Through Time (BPTT).mp4 7MB
  40. 3. Recurrent Neural Networks for NLP/7. Classifying Poetry.mp4 6MB
  41. 4. Advanced RNN Units/1. Rated RNN Unit.mp4 6MB
  42. 1. Introduction and Outline/2. Review of Important Deep Learning Concepts.mp4 6MB
  43. 8. Appendix/1. What is the Appendix.mp4 5MB
  44. 3. Recurrent Neural Networks for NLP/3. Representing a sequence of words as a sequence of word embeddings.mp4 5MB
  45. 1. Introduction and Outline/1. Outline of this Course.mp4 5MB
  46. 3. Recurrent Neural Networks for NLP/2. Word Analogies with Word Embeddings.mp4 4MB
  47. 8. Appendix/10. BONUS Where to get Udemy coupons and FREE deep learning material.mp4 4MB
  48. 8. Appendix/2. How to install wp2txt or WikiExtractor.py.mp4 4MB
  49. 1. Introduction and Outline/4. How to Succeed in this Course.mp4 3MB
  50. 2. The Simple Recurrent Unit/3. Unfolding a Recurrent Network.mp4 3MB
  51. 1. Introduction and Outline/3. Where to get the Code and Data.mp4 3MB
  52. 2. The Simple Recurrent Unit/9. On Adding Complexity.mp4 2MB
  53. 8. Appendix/8. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.vtt 30KB
  54. 8. Appendix/14. What order should I take your courses in (part 2).vtt 22KB
  55. 8. Appendix/5. How to Code by Yourself (part 1).vtt 21KB
  56. 8. Appendix/3. Windows-Focused Environment Setup 2018.vtt 19KB
  57. 8. Appendix/13. What order should I take your courses in (part 1).vtt 15KB
  58. 8. Appendix/7. How to Succeed in this Course (Long Version).vtt 14KB
  59. 8. Appendix/4. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.vtt 14KB
  60. 4. Advanced RNN Units/9. Learning from Wikipedia Data in Code (part 1).vtt 13KB
  61. 8. Appendix/9. Proof that using Jupyter Notebook is the same as not using it.vtt 13KB
  62. 3. Recurrent Neural Networks for NLP/5. Generating Poetry in Code (part 1).vtt 13KB
  63. 5. Batch Training/1. Batch Training for Simple RNN.vtt 12KB
  64. 8. Appendix/6. How to Code by Yourself (part 2).vtt 12KB
  65. 8. Appendix/12. Is Theano Dead.vtt 12KB
  66. 2. The Simple Recurrent Unit/7. Theano Scan Tutorial.vtt 11KB
  67. 3. Recurrent Neural Networks for NLP/8. Classifying Poetry in Code.vtt 11KB
  68. 2. The Simple Recurrent Unit/8. The Parity Problem in Code using a Recurrent Neural Network.vtt 11KB
  69. 2. The Simple Recurrent Unit/6. The Parity Problem in Code using a Feedforward ANN.vtt 10KB
  70. 6. TensorFlow/1. Simple RNN in TensorFlow.vtt 10KB
  71. 4. Advanced RNN Units/11. Visualizing the Word Embeddings.vtt 9KB
  72. 4. Advanced RNN Units/7. Learning from Wikipedia Data.vtt 9KB
  73. 4. Advanced RNN Units/8. Alternative to Wikipedia Data Brown Corpus.vtt 8KB
  74. 7. Basics Review/1. (Review) Theano Basics.vtt 7KB
  75. 2. The Simple Recurrent Unit/2. Prediction and Relationship to Markov Models.vtt 7KB
  76. 3. Recurrent Neural Networks for NLP/1. Word Embeddings and Recurrent Neural Networks.vtt 7KB
  77. 4. Advanced RNN Units/3. Gated Recurrent Unit (GRU).vtt 6KB
  78. 2. The Simple Recurrent Unit/1. Architecture of a Recurrent Unit.vtt 6KB
  79. 8. Appendix/11. Python 2 vs Python 3.vtt 6KB
  80. 4. Advanced RNN Units/2. RRNN in Code - Revisiting Poetry Generation.vtt 6KB
  81. 4. Advanced RNN Units/10. Learning from Wikipedia Data in Code (part 2).vtt 6KB
  82. 2. The Simple Recurrent Unit/5. The Parity Problem - XOR on Steroids.vtt 6KB
  83. 7. Basics Review/3. (Review) Tensorflow Basics.vtt 6KB
  84. 2. The Simple Recurrent Unit/4. Backpropagation Through Time (BPTT).vtt 6KB
  85. 3. Recurrent Neural Networks for NLP/4. Generating Poetry.vtt 5KB
  86. 4. Advanced RNN Units/6. LSTM in Code.vtt 5KB
  87. 7. Basics Review/4. (Review) Tensorflow Neural Network in Code.vtt 5KB
  88. 4. Advanced RNN Units/5. Long Short-Term Memory (LSTM).vtt 5KB
  89. 1. Introduction and Outline/2. Review of Important Deep Learning Concepts.vtt 5KB
  90. 4. Advanced RNN Units/1. Rated RNN Unit.vtt 5KB
  91. 1. Introduction and Outline/1. Outline of this Course.vtt 4KB
  92. 3. Recurrent Neural Networks for NLP/7. Classifying Poetry.vtt 4KB
  93. 3. Recurrent Neural Networks for NLP/3. Representing a sequence of words as a sequence of word embeddings.vtt 4KB
  94. 4. Advanced RNN Units/4. GRU in Code.vtt 4KB
  95. 1. Introduction and Outline/4. How to Succeed in this Course.vtt 4KB
  96. 7. Basics Review/2. (Review) Theano Neural Network in Code.vtt 4KB
  97. 8. Appendix/1. What is the Appendix.vtt 3KB
  98. 3. Recurrent Neural Networks for NLP/2. Word Analogies with Word Embeddings.vtt 3KB
  99. 8. Appendix/10. BONUS Where to get Udemy coupons and FREE deep learning material.vtt 3KB
  100. 8. Appendix/2. How to install wp2txt or WikiExtractor.py.vtt 3KB
  101. 3. Recurrent Neural Networks for NLP/6. Generating Poetry in Code (part 2).vtt 3KB
  102. 2. The Simple Recurrent Unit/3. Unfolding a Recurrent Network.vtt 2KB
  103. 1. Introduction and Outline/3. Where to get the Code and Data.vtt 2KB
  104. 2. The Simple Recurrent Unit/9. On Adding Complexity.vtt 2KB
  105. udemycoursedownloader.com.url 132B
  106. Udemy Course downloader.txt 94B