liyu95 / great_tutorials

a collection of great tutorial, including but not restricted to deep learning field

great_tutorials

a collection of great tutorial, including but not restricted to deep learning field

Variational Autoencoders

http://kvfrans.com/variational-autoencoders-explained/

RNN

http://colah.github.io/posts/2015-08-Understanding-LSTMs/

GAN

https://nips.cc/Conferences/2016/Schedule?showEvent=6202

Bayesian Deep Learning

https://www.youtube.com/watch?v=FD8l2vPU5FY https://www.nature.com/articles/nature14541

Bayesian Optimization

http://philipperemy.github.io/visualization/

Variational Inference

http://blog.evjang.com/2016/08/variational-bayes.html

Gaussian Process

http://keyonvafa.com/gp-tutorial/ http://keyonvafa.com/gp-predictit/ http://keyonvafa.com/deep-gaussian-processes/

Statistical Machine Learning

https://am207.github.io/2017/material.html

Restricted Boltzman Machine

https://deeplearning4j.org/restrictedboltzmannmachine

Uncertainty in Deep Learning

http://www.cs.ox.ac.uk/people/yarin.gal/website/blog_2248.html#thesis