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[UdemyCourseDownloader] Deep Learning Advanced NLP and RNNs

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 2019-2-20 20:13 2024-11-2 10:56 128 3.01 GB 62
磁力链接
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迅雷链接
thunder://QUFtYWduZXQ6P3h0PXVybjpidGloOmI5MDg1YmM1NDI2YjNmZjk3ZDJjN2EwN2E1MTdiNWY3YjVjZThmMWNaWg==
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UdemyCourseDownloader Deep Learning Advanced NLP and RNNs

文件列表
  1. 8. Appendix/2. Windows-Focused Environment Setup 2018.mp4193.26MB
  2. 1. Welcome/1. Introduction.mp414.42MB
  3. 1. Welcome/2. Outline.mp416.14MB
  4. 1. Welcome/3. Where to get the code.mp419.58MB
  5. 1. Welcome/4. How to Succeed in this Course.mp417.41MB
  6. 2. Review/1. Review Section Introduction.mp420.75MB
  7. 2. Review/2. What is a word embedding.mp457.53MB
  8. 2. Review/3. Using word embeddings.mp418.67MB
  9. 2. Review/4. What is a CNN.mp461.97MB
  10. 2. Review/5. Where to get the data.mp427.15MB
  11. 2. Review/6. CNN Code (part 1).mp4148.61MB
  12. 2. Review/7. CNN Code (part 2).mp459.29MB
  13. 2. Review/8. What is an RNN.mp456.61MB
  14. 2. Review/9. GRUs and LSTMs.mp449.64MB
  15. 2. Review/10. Different Types of RNN Tasks.mp456.79MB
  16. 2. Review/11. A Simple RNN Experiment.mp456MB
  17. 2. Review/12. RNN Code.mp431.1MB
  18. 2. Review/13. Review Section Summary.mp419.64MB
  19. 3. Bidirectional RNNs/1. Bidirectional RNNs Motivation.mp433.35MB
  20. 3. Bidirectional RNNs/2. Bidirectional RNN Experiment.mp448.7MB
  21. 3. Bidirectional RNNs/3. Bidirectional RNN Code.mp422.72MB
  22. 3. Bidirectional RNNs/4. Image Classification with Bidirectional RNNs.mp432.78MB
  23. 3. Bidirectional RNNs/5. Image Classification Code.mp448.62MB
  24. 3. Bidirectional RNNs/6. Bidirectional RNNs Section Summary.mp413.99MB
  25. 4. Sequence-to-sequence models (Seq2Seq)/1. Seq2Seq Theory.mp432.51MB
  26. 4. Sequence-to-sequence models (Seq2Seq)/2. Seq2Seq Applications.mp416.12MB
  27. 4. Sequence-to-sequence models (Seq2Seq)/3. Decoding in Detail and Teacher Forcing.mp431.13MB
  28. 4. Sequence-to-sequence models (Seq2Seq)/4. Poetry Revisited.mp412.47MB
  29. 4. Sequence-to-sequence models (Seq2Seq)/5. Poetry Revisited Code 1.mp482.59MB
  30. 4. Sequence-to-sequence models (Seq2Seq)/6. Poetry Revisited Code 2.mp466.56MB
  31. 4. Sequence-to-sequence models (Seq2Seq)/7. Seq2Seq in Code 1.mp484.34MB
  32. 4. Sequence-to-sequence models (Seq2Seq)/8. Seq2Seq in Code 2.mp450.59MB
  33. 4. Sequence-to-sequence models (Seq2Seq)/9. Seq2Seq Section Summary.mp413.63MB
  34. 5. Attention/1. Attention Section Introduction.mp48.41MB
  35. 5. Attention/2. Attention Theory.mp461.82MB
  36. 5. Attention/3. Teacher Forcing.mp47.18MB
  37. 5. Attention/4. Helpful Implementation Details.mp440.88MB
  38. 5. Attention/5. Attention Code 1.mp499.94MB
  39. 5. Attention/6. Attention Code 2.mp441.6MB
  40. 5. Attention/7. Visualizing Attention.mp410.43MB
  41. 5. Attention/8. Building a Chatbot without any more Code.mp476.15MB
  42. 5. Attention/9. Attention Section Summary.mp413.88MB
  43. 6. Memory Networks/1. Memory Networks Section Introduction.mp439.23MB
  44. 6. Memory Networks/2. Memory Networks Theory.mp430.4MB
  45. 6. Memory Networks/3. Memory Networks Code 1.mp479.62MB
  46. 6. Memory Networks/4. Memory Networks Code 2.mp453.55MB
  47. 6. Memory Networks/5. Memory Networks Code 3.mp455.85MB
  48. 6. Memory Networks/6. Memory Networks Section Summary.mp416.11MB
  49. 7. Basics Review/1. (Review) Keras Discussion.mp427.64MB
  50. 7. Basics Review/2. (Review) Keras Neural Network in Code.mp466.11MB
  51. 7. Basics Review/3. (Review) Keras Functional API.mp438.6MB
  52. 8. Appendix/1. What is the Appendix.mp417.68MB
  53. 8. Appendix/3. How to How to install Numpy, Theano, Tensorflow, etc....mp4166.45MB
  54. 8. Appendix/4. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4115.85MB
  55. 8. Appendix/5. How to Succeed in this Course (Long Version).mp439.01MB
  56. 8. Appendix/6. How to Code by Yourself (part 1).mp482.11MB
  57. 8. Appendix/7. How to Code by Yourself (part 2).mp456.22MB
  58. 8. Appendix/8. Proof that using Jupyter Notebook is the same as not using it.mp478.26MB
  59. 8. Appendix/9. What order should I take your courses in (part 1).mp488.04MB
  60. 8. Appendix/10. What order should I take your courses in (part 2).mp4122.65MB
  61. 8. Appendix/11. Python 2 vs Python 3.mp418.79MB
  62. 8. Appendix/12. BONUS Where to get discount coupons and FREE deep learning material.mp413.07MB
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