Deep learning Courses
- Deep Learning
- Computer Vision
- Natural Language Processing
- Parallel Programming
- Reinforcement Learning
Deep Learning
EECS 598: Unsupervised Feature Learning(by Honglak Lee)
http://web.eecs.umich.edu/~honglak/teaching/eecs598/schedule.html
NVIDIA’s Deep Learning Courses
https://developer.nvidia.com/deep-learning-courses
ECE 6504 Deep Learning for Perception(by Dhruv Batra, Virginia Tech)
https://computing.ece.vt.edu/~f15ece6504/
University of Oxford: Machine Learning: 2014-2015
- homepage: https://www.cs.ox.ac.uk/people/nando.defreitas/machinelearning/
- lectures: http://pan.baidu.com/s/1bndbxJh#path=%252FDeep%2520Learning%2520Lectures
- github: https://github.com/oxford-cs-ml-2015/
University of Birmingham 2014: Introduction to Neural Computation (Level 4/M); Neural Computation (Level 3/H)(by John A. Bullinaria)
http://www.cs.bham.ac.uk/~jxb/inc.html
Neural networks class - Université de Sherbrooke
- intro: by Hugo Larochelle
- youtube: https://www.youtube.com/playlist?list=PL6Xpj9I5qXYEcOhn7TqghAJ6NAPrNmUBH
- video: http://pan.baidu.com/s/1bnwEe8R
- course content: http://info.usherbrooke.ca/hlarochelle/neural_networks/content.html
- google group: https://groups.google.com/forum/#!forum/neural-networks-online-course
CMU: Deep Learning (Instructor: Bhiksha Raj)
- homepage: http://deeplearning.cs.cmu.edu/
University of Waterloo: STAT 946 - Deep Learning
- homepage: https://uwaterloo.ca/data-science/deep-learning
- video+slides: http://pan.baidu.com/s/1sjTRgjN
Deep Learning: Taking machine learning to the next leve (Udacity)
- intro: by Vincent Vanhoucke (Google)
- homepage: https://www.udacity.com/course/deep-learning–ud730
- assignments: https://github.com/tdhopper/udacity-deep-learning
stat212b: Topics Course on Deep Learning for Spring 2016
- github: https://github.com/joanbruna/stat212b
- pan: http://pan.baidu.com/s/1sk7TKtf#path=%252Fstat212b%2520-%2520Topics%2520Course%2520on%2520Deep%2520Learning%2520for%2520Spring%25202016
Good materials on deep learning
http://eclass.cc/courselists/117_deep_learning
Computer Vision
Stanford CS231n: Convolutional Neural Networks for Visual Recognition
- homepage: http://cs231n.stanford.edu/
- homepage: http://vision.stanford.edu/teaching/cs231n/index.html
- syllabus: http://vision.stanford.edu/teaching/cs231n/syllabus.html
- github.io: http://cs231n.github.io/
- youtube: https://www.youtube.com/watch?v=NfnWJUyUJYU&feature=youtu.be
- video: http://pan.baidu.com/s/1pKsTivp
Natural Language Processing
Stanford CS224d: Deep Learning for Natural Language Processing
Parallel Programming
(Udacity) Intro to Parallel Programming Using CUDA to Harness the Power of GPUs
https://www.udacity.com/course/intro-to-parallel-programming–cs344
Reinforcement Learning
(Udacity) Reinforcement Learning - Offered at Georgia Tech as CS 8803(by Charles Isbell, Michael Littman)
https://www.udacity.com/course/reinforcement-learning–ud600
