igorsubbotin.blogspot.com
Igor Subbotin: Список ресурсов по Deep Learning
http://igorsubbotin.blogspot.com/2015/01/deep-learning-resources.html
Data Science, High Scalability and Software Engineering. Data science online courses. Saturday, January 3, 2015. Список ресурсов по Deep Learning. Наткнулся на хороший список. Ссылок на различные полезные ресурсы по теме Deep Learning. Yoshua Bengio, Ian Goodfellow, Aaron Courville). Neural Networks and Deep Learning. Machine Learning - Caltech. Machine Learning - Carnegie Mellon. LISA lab, University of Montreal). Andrew Ng, Coursera). Neural Networks for Machine Learning. Geoffrey Hinton, Coursera).
artent.net
Artificial Intelligence Blog · List of Papers for Carnegie Mellon’s Deep Learning Course
http://artent.net/2015/01/08/list-of-papers-for-carnegie-mellons-deep-learning-course
We're blogging machines! Lsaquo; 179 classifiers competing on 121 data sets and the winner is …. University of Alberta Solves Poker ›. List of Papers for Carnegie Mellon’s Deep Learning Course. January 8, 2015. In Deep Belief Networks. CMU’s Professor Bhiksha Raj has a nice list of papers. For his deep learning class. Check ‘em out. Related Posts via Categories. Newly Published “Deep Learning” Book by Ian Goodfellow, Yoshua Bengio, and Aaron Courville. DeepLearning.net’s Reading List.
artent.net
Artificial Intelligence Blog · Neural Nets
http://artent.net/category/neural-nets
We're blogging machines! You are currently browsing the archive for the Neural Nets. Newly Published “Deep Learning” Book by Ian Goodfellow, Yoshua Bengio, and Aaron Courville. April 7, 2016. In Deep Belief Networks. The book “Deep Learning” by Ian Goodfellow, Yoshua Bengio, and Aaron Courville (associated with the Google Deep Mind Team) is available in HTML format. Http:/ www.deeplearningbook.org/. Link: In Two Moves, AlphaGo and Lee Sedol Redefined the Future. March 16, 2016. March 9, 2016. Recently, C...
artent.net
Artificial Intelligence Blog · We're blogging machines!
http://artent.net/page/2
We're blogging machines! University of Alberta Solves Poker. January 9, 2015. The Daily Mail reports. That the Computer Poker Research Group at the University of Alberta. Seems to have solved heads-up limit hold’em poker. You can play against their AI online. My thanks to Glen for emailing me the story! List of Papers for Carnegie Mellon’s Deep Learning Course. January 8, 2015. In Deep Belief Networks. CMU’s Professor Bhiksha Raj has a nice list of papers. December 29, 2014. The overall result was that t...
artent.net
Artificial Intelligence Blog · Deep Belief Networks
http://artent.net/category/deep-belief-networks
We're blogging machines! You are currently browsing the archive for the Deep Belief Networks. Newly Published “Deep Learning” Book by Ian Goodfellow, Yoshua Bengio, and Aaron Courville. April 7, 2016. In Deep Belief Networks. The book “Deep Learning” by Ian Goodfellow, Yoshua Bengio, and Aaron Courville (associated with the Google Deep Mind Team) is available in HTML format. Http:/ www.deeplearningbook.org/. Link: Nvidia 21.6 Teraflop Chip at 1/2 Precision. April 6, 2016. In Deep Belief Networks. We can ...
intelligentstrawberries.wordpress.com
Machine Learning | Intelligent Strawberries
https://intelligentstrawberries.wordpress.com/machine-learning
A blog about hydroponics, machine learning and strawberries. This page contains a list of books, links, references to machine / deep learning resources. It is work in progress, I will continuously update/sort out the list and its descriptions. Blogs, Webcasts, Podcasts. Neural networks and deep learning. Unsupervised Feature Learning and Deep Learning Tutorial. Hacker’s guide to Neural Networks. Machine Learning for JavaScript Hackers. Artificial Neural Networks – Introduction. Leave a Reply Cancel reply.
jmozah.github.io
Deep learning Reading List
http://jmozah.github.io/links
Deep learning Reading List. Deep learning Reading List. Following is a growing list of some of the materials i found on the web for Deep Learning beginners. By Yoshua Bengio, Ian Goodfellow and Aaron Courville. Neural Networks and Deep Learning. By LISA lab, University of Montreal. By Andrew Ng in Coursera. Neural Networks for Machine Learning. By Geoffrey Hinton in Coursera. By Hugo Larochelle from Université de Sherbrooke. By CILVR lab @ NYU. CS231n: Convolutional Neural Networks for Visual Recognition.
