[FreeAllCourse.Com] Udemy - Deep Learning Recurrent Neural Networks in Python - 磁力狗

BT种子名称

请保存以下最新地址

BT种子基本信息

种子哈希：40aad6f888b81ae8fa8befa1e18bd79bc562385f
文档大小：1.5 GB
文档个数：111个文档
下载次数：3748次
下载速度：极快
收录时间：2020-07-03
最近下载：2025-02-18
DMCA/屏蔽：DMCA/屏蔽

下载磁力链接

magnet:?xt=urn:btih:40AAD6F888B81AE8FA8BEFA1E18BD79BC562385F
复制磁力链接到PikPak、utorrent、Bitcomet、迅雷、115、百度网盘等下载工具进行下载。

下载BT种子

磁力链接种子下载迅雷下载二维码 YouTube成人版 91视频 91短视频 51品茶逼哩逼哩萝莉岛欲漫涩草榴社区含羞草抖阴破解版 TikTok成人版成人快手乱伦社区 91AV 暗网禁地

[FreeAllCourse.Com] Udemy - Deep Learning Recurrent Neural Networks in Python的二维码

文档列表

8. Appendix FAQ/3. Windows-Focused Environment Setup 2018.mp4 195.5 MB
7. Basics Review/4. (Review) Tensorflow Neural Network in Code.mp4 102.1 MB
7. Basics Review/1. (Review) Theano Basics.mp4 98.0 MB
7. Basics Review/2. (Review) Theano Neural Network in Code.mp4 91.3 MB
7. Basics Review/3. (Review) Tensorflow Basics.mp4 85.4 MB
8. Appendix FAQ/9. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
3. Recurrent Neural Networks for NLP/5. Generating Poetry in Code (part 1).mp4 55.0 MB
4. Advanced RNN Units/9. Learning from Wikipedia Data in Code (part 1).mp4 51.1 MB
3. Recurrent Neural Networks for NLP/8. Classifying Poetry in Code.mp4 48.1 MB
8. Appendix FAQ/4. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.0 MB
8. Appendix FAQ/8. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 40.9 MB
2. The Simple Recurrent Unit/6. The Parity Problem in Code using a Feedforward ANN.mp4 40.2 MB
8. Appendix FAQ/10. BONUS Where to get Udemy coupons and FREE deep learning material.mp4 39.6 MB
8. Appendix FAQ/14. What order should I take your courses in (part 2).mp4 39.4 MB
2. The Simple Recurrent Unit/8. The Parity Problem in Code using a Recurrent Neural Network.mp4 39.3 MB
8. Appendix FAQ/13. What order should I take your courses in (part 1).mp4 30.8 MB
4. Advanced RNN Units/10. Learning from Wikipedia Data in Code (part 2).mp4 26.9 MB
4. Advanced RNN Units/2. RRNN in Code - Revisiting Poetry Generation.mp4 26.7 MB
8. Appendix FAQ/5. How to Code by Yourself (part 1).mp4 25.7 MB
2. The Simple Recurrent Unit/7. Theano Scan Tutorial.mp4 24.9 MB
4. Advanced RNN Units/11. Visualizing the Word Embeddings.mp4 24.6 MB
1. Introduction and Outline/5. Preprocessed Wikipedia Data.mp4 22.6 MB
4. Advanced RNN Units/6. LSTM in Code.mp4 20.3 MB
8. Appendix FAQ/12. Is Theano Dead.mp4 18.7 MB
5. Batch Training/1. Batch Training for Simple RNN.mp4 17.4 MB
2. The Simple Recurrent Unit/10. Suggestion Box.mp4 16.5 MB
4. Advanced RNN Units/4. GRU in Code.mp4 15.8 MB
8. Appendix FAQ/6. How to Code by Yourself (part 2).mp4 15.5 MB
3. Recurrent Neural Networks for NLP/6. Generating Poetry in Code (part 2).mp4 14.3 MB
8. Appendix FAQ/7. How to Succeed in this Course (Long Version).mp4 13.6 MB
4. Advanced RNN Units/7. Learning from Wikipedia Data.mp4 13.4 MB
4. Advanced RNN Units/8. Alternative to Wikipedia Data Brown Corpus.mp4 13.1 MB
6. TensorFlow/1. Simple RNN in TensorFlow.mp4 12.6 MB
4. Advanced RNN Units/3. Gated Recurrent Unit (GRU).mp4 9.5 MB
2. The Simple Recurrent Unit/2. Prediction and Relationship to Markov Models.mp4 9.4 MB
3. Recurrent Neural Networks for NLP/1. Word Embeddings and Recurrent Neural Networks.mp4 9.1 MB
8. Appendix FAQ/11. Python 2 vs Python 3.mp4 8.2 MB
2. The Simple Recurrent Unit/5. The Parity Problem - XOR on Steroids.mp4 8.2 MB
2. The Simple Recurrent Unit/1. Architecture of a Recurrent Unit.mp4 8.1 MB
4. Advanced RNN Units/5. Long Short-Term Memory (LSTM).mp4 8.0 MB
3. Recurrent Neural Networks for NLP/4. Generating Poetry.mp4 7.9 MB
2. The Simple Recurrent Unit/4. Backpropagation Through Time (BPTT).mp4 7.5 MB
3. Recurrent Neural Networks for NLP/7. Classifying Poetry.mp4 6.6 MB
4. Advanced RNN Units/1. Rated RNN Unit.mp4 6.3 MB
1. Introduction and Outline/2. Review of Important Deep Learning Concepts.mp4 6.0 MB
8. Appendix FAQ/1. What is the Appendix.mp4 5.7 MB
3. Recurrent Neural Networks for NLP/3. Representing a sequence of words as a sequence of word embeddings.mp4 5.7 MB
1. Introduction and Outline/1. Outline of this Course.mp4 5.2 MB
3. Recurrent Neural Networks for NLP/2. Word Analogies with Word Embeddings.mp4 4.4 MB
8. Appendix FAQ/2. How to install wp2txt or WikiExtractor.py.mp4 4.0 MB
1. Introduction and Outline/3. How to Succeed in this Course.mp4 3.5 MB
2. The Simple Recurrent Unit/3. Unfolding a Recurrent Network.mp4 3.4 MB
1. Introduction and Outline/4. Where to get the Code and Data.mp4 3.3 MB
2. The Simple Recurrent Unit/9. On Adding Complexity.mp4 2.5 MB
8. Appendix FAQ/8. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.srt 59.2 kB
8. Appendix FAQ/14. What order should I take your courses in (part 2).srt 44.5 kB
8. Appendix FAQ/5. How to Code by Yourself (part 1).srt 41.6 kB
8. Appendix FAQ/3. Windows-Focused Environment Setup 2018.srt 37.3 kB
8. Appendix FAQ/13. What order should I take your courses in (part 1).srt 30.1 kB
8. Appendix FAQ/7. How to Succeed in this Course (Long Version).srt 26.5 kB
8. Appendix FAQ/4. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.srt 26.0 kB
8. Appendix FAQ/9. Proof that using Jupyter Notebook is the same as not using it.srt 25.8 kB
8. Appendix FAQ/6. How to Code by Yourself (part 2).srt 24.5 kB
8. Appendix FAQ/12. Is Theano Dead.srt 24.2 kB
5. Batch Training/1. Batch Training for Simple RNN.srt 24.0 kB
6. TensorFlow/1. Simple RNN in TensorFlow.srt 19.4 kB
4. Advanced RNN Units/7. Learning from Wikipedia Data.srt 15.9 kB
4. Advanced RNN Units/9. Learning from Wikipedia Data in Code (part 1).srt 15.5 kB
3. Recurrent Neural Networks for NLP/5. Generating Poetry in Code (part 1).srt 15.2 kB
4. Advanced RNN Units/8. Alternative to Wikipedia Data Brown Corpus.srt 14.9 kB
7. Basics Review/1. (Review) Theano Basics.srt 13.6 kB
2. The Simple Recurrent Unit/7. Theano Scan Tutorial.srt 13.1 kB
3. Recurrent Neural Networks for NLP/8. Classifying Poetry in Code.srt 12.8 kB
2. The Simple Recurrent Unit/8. The Parity Problem in Code using a Recurrent Neural Network.srt 12.7 kB
2. The Simple Recurrent Unit/6. The Parity Problem in Code using a Feedforward ANN.srt 12.0 kB
8. Appendix FAQ/11. Python 2 vs Python 3.srt 11.3 kB
7. Basics Review/3. (Review) Tensorflow Basics.srt 10.5 kB
4. Advanced RNN Units/11. Visualizing the Word Embeddings.srt 10.4 kB
7. Basics Review/4. (Review) Tensorflow Neural Network in Code.srt 10.2 kB
8. Appendix FAQ/10. BONUS Where to get Udemy coupons and FREE deep learning material.srt 8.6 kB
2. The Simple Recurrent Unit/2. Prediction and Relationship to Markov Models.srt 7.7 kB
1. Introduction and Outline/3. How to Succeed in this Course.srt 7.7 kB
3. Recurrent Neural Networks for NLP/1. Word Embeddings and Recurrent Neural Networks.srt 7.6 kB
4. Advanced RNN Units/3. Gated Recurrent Unit (GRU).srt 7.3 kB
7. Basics Review/2. (Review) Theano Neural Network in Code.srt 6.9 kB
2. The Simple Recurrent Unit/1. Architecture of a Recurrent Unit.srt 6.8 kB
4. Advanced RNN Units/2. RRNN in Code - Revisiting Poetry Generation.srt 6.5 kB
4. Advanced RNN Units/10. Learning from Wikipedia Data in Code (part 2).srt 6.5 kB
8. Appendix FAQ/1. What is the Appendix.srt 6.5 kB
2. The Simple Recurrent Unit/5. The Parity Problem - XOR on Steroids.srt 6.4 kB
2. The Simple Recurrent Unit/4. Backpropagation Through Time (BPTT).srt 6.2 kB
4. Advanced RNN Units/6. LSTM in Code.srt 6.2 kB
3. Recurrent Neural Networks for NLP/4. Generating Poetry.srt 6.1 kB
8. Appendix FAQ/2. How to install wp2txt or WikiExtractor.py.srt 5.9 kB
4. Advanced RNN Units/5. Long Short-Term Memory (LSTM).srt 5.8 kB
1. Introduction and Outline/2. Review of Important Deep Learning Concepts.srt 5.3 kB
4. Advanced RNN Units/1. Rated RNN Unit.srt 5.2 kB
2. The Simple Recurrent Unit/10. Suggestion Box.srt 4.9 kB
1. Introduction and Outline/1. Outline of this Course.srt 4.9 kB
3. Recurrent Neural Networks for NLP/7. Classifying Poetry.srt 4.9 kB
3. Recurrent Neural Networks for NLP/3. Representing a sequence of words as a sequence of word embeddings.srt 4.4 kB
4. Advanced RNN Units/4. GRU in Code.srt 4.3 kB
1. Introduction and Outline/5. Preprocessed Wikipedia Data.srt 4.2 kB
3. Recurrent Neural Networks for NLP/2. Word Analogies with Word Embeddings.srt 3.7 kB
3. Recurrent Neural Networks for NLP/6. Generating Poetry in Code (part 2).srt 3.3 kB
2. The Simple Recurrent Unit/3. Unfolding a Recurrent Network.srt 2.7 kB
1. Introduction and Outline/4. Where to get the Code and Data.srt 2.6 kB
2. The Simple Recurrent Unit/9. On Adding Complexity.srt 1.8 kB
Verify Files.txt 1.1 kB
0. Websites you may like/[FreeAllCourse.Com].url 52 Bytes
[FreeAllCourse.Com].url 52 Bytes

==查看完整文档列表==

上一个：Wicked.Right.Amount.Of.Wrong.2014.1080p.WEB-DL.AAC.AVC-TayTO5.1 GB
下一个：Биткин 2000.pdf 550.4 MB