[FreeAllCourse.Com] Udemy - Deep Learning Recurrent Neural Networks in Python - 2048BT - 全球最新最全bt种子资源在线搜索库，实时索引全球磁力链接资源

BT种子名称

分享给好友

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：4837次
下载速度：极快
收录时间：2020-07-03
最近下载：2024-10-09
DMCA/屏蔽：DMCA/屏蔽

下载磁力链接

magnet:?xt=urn:btih:40AAD6F888B81AE8FA8BEFA1E18BD79BC562385F
复制磁力链接到utorrent、Bitcomet、迅雷、115、百度网盘、PIKPAK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含羞草 51品茶 91视频逼哩逼哩欲漫涩草榴社区抖阴破解版成人快手暗网禁区缅北禁地 TikTok成人版暗网解密

[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

种子标签

种子评价

优质的种子 (0) 假种子 (0) 有密码 (0) 低质量 (0) 有病毒 (0) 无法下载 (0)
欢迎对种子质量进行评价。

人气女优

北川ゆい Akira COCOLO Saiko あいだももあさのくるみあまいれもんいしかわ愛里いとうしいなうさみ恭香うちだまひろかぐやひめかとりこのみかないかほくすのき琴美クミコグレースくらもとまい（葉月ありさ）さとみ中村あみしいな純菜しのざきさとみ（三沢亜也）牧本千幸（つかもと友希）眞木ありさデヴィテラパトリックドミニカともさかまいともさか愛なごみもえひなこ

分享BT种子/磁力链接

亲，你知道吗？下载的人越多速度越快，赶快把本页面分享给好友一起下载吧^_^

2048BT

BT种子名称

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

分享给好友

BT种子基本信息

下载磁力链接

下载BT种子

文档列表

猜你喜欢

种子标签

种子评价

最近搜索

人气女优

最新番号

分享BT种子/磁力链接

友情链接