[FreeTutorials.Eu] [UDEMY] Recommender Systems and Deep Learning in Python - [FTU] - 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：1e9426569178176e4474f566414a93061df681bf
文档大小：4.3 GB
文档个数：170个文档
下载次数：3321次
下载速度：极快
收录时间：2020-03-08
最近下载：2024-10-10
DMCA/屏蔽：DMCA/屏蔽

下载磁力链接

magnet:?xt=urn:btih:1E9426569178176E4474F566414A93061DF681BF
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。

[FreeTutorials.Eu] [UDEMY] Recommender Systems and Deep Learning in Python - [FTU]的二维码

文档列表

8. Appendix/2. Windows-Focused Environment Setup 2018.mp4 203.7 MB
8. Appendix/3. How to How to install Numpy, Theano, Tensorflow, etc....mp4 175.1 MB
3. Collaborative Filtering/5. User-User Collaborative Filtering in Code.mp4 161.0 MB
5. Restricted Boltzmann Machines (RBMs) for Collaborative Filtering/12. RBM Code pt 3.mp4 134.8 MB
8. Appendix/9. What order should I take your courses in (part 2).mp4 129.0 MB
8. Appendix/4. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 123.0 MB
3. Collaborative Filtering/4. Data Preprocessing.mp4 121.5 MB
6. Big Data Matrix Factorization with Spark Cluster on AWS EC2/3. Matrix Factorization in Spark.mp4 115.4 MB
2. Simple Recommendation Systems/12. Bayesian Approach part 4 (Code).mp4 111.7 MB
4. Matrix Factorization and Deep Learning/19. Autoencoders (AutoRec) Code.mp4 107.3 MB
4. Matrix Factorization and Deep Learning/8. Matrix Factorization in Code - Vectorized.mp4 102.1 MB
8. Appendix/8. What order should I take your courses in (part 1).mp4 92.7 MB
5. Restricted Boltzmann Machines (RBMs) for Collaborative Filtering/13. Speeding up the RBM Code.mp4 87.0 MB
8. Appendix/6. How to Code by Yourself (part 1).mp4 86.5 MB
6. Big Data Matrix Factorization with Spark Cluster on AWS EC2/5. Setting up a Spark Cluster on AWS EC2.mp4 76.8 MB
5. Restricted Boltzmann Machines (RBMs) for Collaborative Filtering/10. RBM Code pt 1.mp4 73.8 MB
3. Collaborative Filtering/7. Item-Item Collaborative Filtering in Code.mp4 72.8 MB
4. Matrix Factorization and Deep Learning/2. Matrix Factorization - First Steps.mp4 72.0 MB
7. Basics Review/2. Keras Neural Network in Code.mp4 69.4 MB
4. Matrix Factorization and Deep Learning/13. Matrix Factorization in Keras (Code).mp4 67.0 MB
3. Collaborative Filtering/2. User-User Collaborative Filtering.mp4 63.6 MB
8. Appendix/7. How to Code by Yourself (part 2).mp4 59.4 MB
6. Big Data Matrix Factorization with Spark Cluster on AWS EC2/4. Spark Submit.mp4 58.8 MB
2. Simple Recommendation Systems/14. PageRank (part 1).mp4 57.6 MB
2. Simple Recommendation Systems/6. Reddit - Should censorship based on politics be allowed.mp4 55.6 MB
4. Matrix Factorization and Deep Learning/7. Matrix Factorization in Code.mp4 54.9 MB
3. Collaborative Filtering/1. Collaborative Filtering Section Introduction.mp4 54.1 MB
2. Simple Recommendation Systems/15. PageRank (part 2).mp4 52.3 MB
5. Restricted Boltzmann Machines (RBMs) for Collaborative Filtering/6. Training an RBM (part 1).mp4 51.4 MB
4. Matrix Factorization and Deep Learning/18. Autoencoders (AutoRec) Discussion.mp4 51.3 MB
2. Simple Recommendation Systems/13. Demographics and Supervised Learning.mp4 50.9 MB
2. Simple Recommendation Systems/7. Problems with Average Rating _ Explore vs. Exploit (part 1).mp4 50.0 MB
5. Restricted Boltzmann Machines (RBMs) for Collaborative Filtering/9. Categorical RBM for Recommender System Ratings.mp4 49.9 MB
3. Collaborative Filtering/6. Item-Item Collaborative Filtering.mp4 49.9 MB
2. Simple Recommendation Systems/8. Problems with Average Rating _ Explore vs. Exploit (part 2).mp4 47.8 MB
2. Simple Recommendation Systems/9. Bayesian Approach part 1 (Optional).mp4 47.1 MB
3. Collaborative Filtering/3. Collaborative Filtering Exercise Prep.mp4 45.7 MB
7. Basics Review/4. Confidence Intervals (Appendix).mp4 41.8 MB
5. Restricted Boltzmann Machines (RBMs) for Collaborative Filtering/11. RBM Code pt 2.mp4 41.5 MB
5. Restricted Boltzmann Machines (RBMs) for Collaborative Filtering/2. Intro to RBMs.mp4 41.4 MB
8. Appendix/5. How to Succeed in this Course (Long Version).mp4 41.1 MB
7. Basics Review/3. Keras Functional API.mp4 40.5 MB
2. Simple Recommendation Systems/5. Hacker News - Will you be penalized for talking about the NSA.mp4 39.5 MB
6. Big Data Matrix Factorization with Spark Cluster on AWS EC2/1. Big Data and Spark Section Introduction.mp4 37.3 MB
2. Simple Recommendation Systems/16. Evaluating a Ranking.mp4 36.6 MB
6. Big Data Matrix Factorization with Spark Cluster on AWS EC2/2. Setting up Spark in your Local Environment.mp4 36.3 MB
1. Welcome/2. Outline of the course.mp4 35.8 MB
5. Restricted Boltzmann Machines (RBMs) for Collaborative Filtering/3. Motivation Behind RBMs.mp4 35.7 MB
4. Matrix Factorization and Deep Learning/4. Matrix Factorization - Expanding Our Model.mp4 35.4 MB
2. Simple Recommendation Systems/11. Bayesian Approach part 3 (Gaussian).mp4 34.3 MB
4. Matrix Factorization and Deep Learning/9. SVD (Singular Value Decomposition).mp4 34.2 MB
4. Matrix Factorization and Deep Learning/3. Matrix Factorization - Training.mp4 34.2 MB
4. Matrix Factorization and Deep Learning/12. Matrix Factorization in Keras (Discussion).mp4 33.8 MB
5. Restricted Boltzmann Machines (RBMs) for Collaborative Filtering/5. Neural Network Equations.mp4 33.2 MB
2. Simple Recommendation Systems/17. Section Conclusion.mp4 32.5 MB
2. Simple Recommendation Systems/3. Basic Intuitions.mp4 32.1 MB
2. Simple Recommendation Systems/4. Associations.mp4 31.3 MB
3. Collaborative Filtering/8. Collaborative Filtering Section Conclusion.mp4 30.8 MB
7. Basics Review/1. Keras Discussion.mp4 29.0 MB
5. Restricted Boltzmann Machines (RBMs) for Collaborative Filtering/8. Training an RBM (part 3) - Free Energy.mp4 28.9 MB
5. Restricted Boltzmann Machines (RBMs) for Collaborative Filtering/7. Training an RBM (part 2).mp4 28.7 MB
2. Simple Recommendation Systems/1. Section Introduction and Outline.mp4 28.6 MB
1. Welcome/3. Where to get the code.mp4 28.5 MB
7. Basics Review/5. Gaussian Conjugate Prior (Appendix).mp4 26.4 MB
4. Matrix Factorization and Deep Learning/15. Deep Neural Network (Code).mp4 26.3 MB
2. Simple Recommendation Systems/10. Bayesian Approach part 2 (Sampling and Ranking).mp4 25.7 MB
4. Matrix Factorization and Deep Learning/10. Probabilistic Matrix Factorization.mp4 24.1 MB
4. Matrix Factorization and Deep Learning/5. Matrix Factorization - Regularization.mp4 23.4 MB
1. Welcome/1. Introduction.mp4 22.7 MB
4. Matrix Factorization and Deep Learning/11. Bayesian Matrix Factorization.mp4 21.7 MB
8. Appendix/10. Python 2 vs Python 3.mp4 20.0 MB
2. Simple Recommendation Systems/2. Perspective for this Section.mp4 19.2 MB
8. Appendix/1. What is the Appendix.mp4 19.0 MB
4. Matrix Factorization and Deep Learning/17. Residual Learning (Code).mp4 18.1 MB
4. Matrix Factorization and Deep Learning/1. Matrix Factorization Section Introduction.mp4 17.7 MB
4. Matrix Factorization and Deep Learning/14. Deep Neural Network (Discussion).mp4 15.7 MB
8. Appendix/11. BONUS Where to get discount coupons and FREE deep learning material.mp4 14.0 MB
5. Restricted Boltzmann Machines (RBMs) for Collaborative Filtering/4. Intractability.mp4 13.6 MB
6. Big Data Matrix Factorization with Spark Cluster on AWS EC2/6. Making Predictions in the Real World.mp4 11.9 MB
5. Restricted Boltzmann Machines (RBMs) for Collaborative Filtering/1. RBMs for Collaborative Filtering Section Introduction.mp4 10.8 MB
4. Matrix Factorization and Deep Learning/16. Residual Learning (Discussion).mp4 7.9 MB
4. Matrix Factorization and Deep Learning/6. Matrix Factorization - Exercise Prompt.mp4 4.5 MB
Discuss.FreeTutorials.Us.html 169.7 kB
FreeCoursesOnline.Me.html 110.9 kB
FreeTutorials.Eu.html 104.7 kB
8. Appendix/4. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.vtt 28.6 kB
8. Appendix/9. What order should I take your courses in (part 2).vtt 20.8 kB
8. Appendix/6. How to Code by Yourself (part 1).vtt 20.1 kB
3. Collaborative Filtering/5. User-User Collaborative Filtering in Code.vtt 19.0 kB
3. Collaborative Filtering/4. Data Preprocessing.vtt 17.9 kB
8. Appendix/2. Windows-Focused Environment Setup 2018.vtt 17.8 kB
4. Matrix Factorization and Deep Learning/2. Matrix Factorization - First Steps.vtt 17.1 kB
3. Collaborative Filtering/2. User-User Collaborative Filtering.vtt 16.1 kB
8. Appendix/8. What order should I take your courses in (part 1).vtt 14.5 kB
6. Big Data Matrix Factorization with Spark Cluster on AWS EC2/5. Setting up a Spark Cluster on AWS EC2.vtt 14.1 kB
3. Collaborative Filtering/1. Collaborative Filtering Section Introduction.vtt 13.3 kB
8. Appendix/5. How to Succeed in this Course (Long Version).vtt 13.1 kB
2. Simple Recommendation Systems/15. PageRank (part 2).vtt 13.1 kB
4. Matrix Factorization and Deep Learning/19. Autoencoders (AutoRec) Code.vtt 12.9 kB
8. Appendix/3. How to How to install Numpy, Theano, Tensorflow, etc....vtt 12.7 kB
2. Simple Recommendation Systems/7. Problems with Average Rating _ Explore vs. Exploit (part 1).vtt 12.6 kB
2. Simple Recommendation Systems/12. Bayesian Approach part 4 (Code).vtt 12.5 kB
5. Restricted Boltzmann Machines (RBMs) for Collaborative Filtering/9. Categorical RBM for Recommender System Ratings.vtt 12.3 kB
3. Collaborative Filtering/3. Collaborative Filtering Exercise Prep.vtt 12.3 kB
5. Restricted Boltzmann Machines (RBMs) for Collaborative Filtering/12. RBM Code pt 3.vtt 12.3 kB
5. Restricted Boltzmann Machines (RBMs) for Collaborative Filtering/6. Training an RBM (part 1).vtt 12.0 kB
8. Appendix/7. How to Code by Yourself (part 2).vtt 11.9 kB
4. Matrix Factorization and Deep Learning/18. Autoencoders (AutoRec) Discussion.vtt 11.8 kB
7. Basics Review/4. Confidence Intervals (Appendix).vtt 11.8 kB
2. Simple Recommendation Systems/14. PageRank (part 1).vtt 11.6 kB
4. Matrix Factorization and Deep Learning/8. Matrix Factorization in Code - Vectorized.vtt 11.3 kB
2. Simple Recommendation Systems/6. Reddit - Should censorship based on politics be allowed.vtt 10.4 kB
3. Collaborative Filtering/6. Item-Item Collaborative Filtering.vtt 10.3 kB
6. Big Data Matrix Factorization with Spark Cluster on AWS EC2/3. Matrix Factorization in Spark.vtt 9.9 kB
4. Matrix Factorization and Deep Learning/3. Matrix Factorization - Training.vtt 9.9 kB
2. Simple Recommendation Systems/8. Problems with Average Rating _ Explore vs. Exploit (part 2).vtt 9.4 kB
2. Simple Recommendation Systems/11. Bayesian Approach part 3 (Gaussian).vtt 9.2 kB
5. Restricted Boltzmann Machines (RBMs) for Collaborative Filtering/2. Intro to RBMs.vtt 9.1 kB
5. Restricted Boltzmann Machines (RBMs) for Collaborative Filtering/10. RBM Code pt 1.vtt 8.9 kB
6. Big Data Matrix Factorization with Spark Cluster on AWS EC2/2. Setting up Spark in your Local Environment.vtt 8.8 kB
4. Matrix Factorization and Deep Learning/12. Matrix Factorization in Keras (Discussion).vtt 8.6 kB
4. Matrix Factorization and Deep Learning/4. Matrix Factorization - Expanding Our Model.vtt 8.6 kB
6. Big Data Matrix Factorization with Spark Cluster on AWS EC2/1. Big Data and Spark Section Introduction.vtt 8.4 kB
4. Matrix Factorization and Deep Learning/9. SVD (Singular Value Decomposition).vtt 8.4 kB
2. Simple Recommendation Systems/5. Hacker News - Will you be penalized for talking about the NSA.vtt 8.2 kB
7. Basics Review/1. Keras Discussion.vtt 8.2 kB
4. Matrix Factorization and Deep Learning/13. Matrix Factorization in Keras (Code).vtt 8.2 kB
5. Restricted Boltzmann Machines (RBMs) for Collaborative Filtering/13. Speeding up the RBM Code.vtt 8.1 kB
2. Simple Recommendation Systems/13. Demographics and Supervised Learning.vtt 8.1 kB
3. Collaborative Filtering/7. Item-Item Collaborative Filtering in Code.vtt 7.7 kB
5. Restricted Boltzmann Machines (RBMs) for Collaborative Filtering/3. Motivation Behind RBMs.vtt 7.7 kB
5. Restricted Boltzmann Machines (RBMs) for Collaborative Filtering/5. Neural Network Equations.vtt 7.6 kB
5. Restricted Boltzmann Machines (RBMs) for Collaborative Filtering/8. Training an RBM (part 3) - Free Energy.vtt 7.2 kB
6. Big Data Matrix Factorization with Spark Cluster on AWS EC2/4. Spark Submit.vtt 7.1 kB
4. Matrix Factorization and Deep Learning/10. Probabilistic Matrix Factorization.vtt 6.8 kB
7. Basics Review/2. Keras Neural Network in Code.vtt 6.6 kB
2. Simple Recommendation Systems/10. Bayesian Approach part 2 (Sampling and Ranking).vtt 6.6 kB
5. Restricted Boltzmann Machines (RBMs) for Collaborative Filtering/7. Training an RBM (part 2).vtt 6.6 kB
4. Matrix Factorization and Deep Learning/5. Matrix Factorization - Regularization.vtt 6.6 kB
4. Matrix Factorization and Deep Learning/7. Matrix Factorization in Code.vtt 6.5 kB
7. Basics Review/5. Gaussian Conjugate Prior (Appendix).vtt 6.4 kB
3. Collaborative Filtering/8. Collaborative Filtering Section Conclusion.vtt 6.4 kB
1. Welcome/3. Where to get the code.vtt 6.2 kB
2. Simple Recommendation Systems/3. Basic Intuitions.vtt 6.1 kB
4. Matrix Factorization and Deep Learning/11. Bayesian Matrix Factorization.vtt 6.0 kB
1. Welcome/2. Outline of the course.vtt 6.0 kB
8. Appendix/10. Python 2 vs Python 3.vtt 5.5 kB
2. Simple Recommendation Systems/16. Evaluating a Ranking.vtt 5.3 kB
2. Simple Recommendation Systems/4. Associations.vtt 5.1 kB
4. Matrix Factorization and Deep Learning/1. Matrix Factorization Section Introduction.vtt 5.1 kB
2. Simple Recommendation Systems/1. Section Introduction and Outline.vtt 4.9 kB
7. Basics Review/3. Keras Functional API.vtt 4.8 kB
5. Restricted Boltzmann Machines (RBMs) for Collaborative Filtering/11. RBM Code pt 2.vtt 4.7 kB
2. Simple Recommendation Systems/2. Perspective for this Section.vtt 4.6 kB
2. Simple Recommendation Systems/17. Section Conclusion.vtt 4.5 kB
1. Welcome/1. Introduction.vtt 3.9 kB
5. Restricted Boltzmann Machines (RBMs) for Collaborative Filtering/4. Intractability.vtt 3.4 kB
8. Appendix/1. What is the Appendix.vtt 3.4 kB
4. Matrix Factorization and Deep Learning/14. Deep Neural Network (Discussion).vtt 3.1 kB
6. Big Data Matrix Factorization with Spark Cluster on AWS EC2/6. Making Predictions in the Real World.vtt 3.1 kB
8. Appendix/11. BONUS Where to get discount coupons and FREE deep learning material.vtt 3.1 kB
4. Matrix Factorization and Deep Learning/15. Deep Neural Network (Code).vtt 3.0 kB
5. Restricted Boltzmann Machines (RBMs) for Collaborative Filtering/1. RBMs for Collaborative Filtering Section Introduction.vtt 2.4 kB
4. Matrix Factorization and Deep Learning/16. Residual Learning (Discussion).vtt 2.2 kB
4. Matrix Factorization and Deep Learning/17. Residual Learning (Code).vtt 1.8 kB
4. Matrix Factorization and Deep Learning/6. Matrix Factorization - Exercise Prompt.vtt 1.3 kB
[TGx]Downloaded from torrentgalaxy.org.txt 524 Bytes
How you can help Team-FTU.txt 259 Bytes
Torrent Downloaded From GloDls.to.txt 84 Bytes
2. Simple Recommendation Systems/9. Bayesian Approach part 1 (Optional).vtt 0 Bytes

==查看完整文档列表==

上一个：Shelter2.8 GB
下一个：Batman Vs. Robin (2015) [720p] [BluRay] [YTS.MX] 771.1 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

[FreeTutorials.Eu] [UDEMY] Recommender Systems and Deep Learning in Python - [FTU]

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