kaychaks

%%
%% Inspired from http://phdp.github.io/posts/2015-04-05-automated-reasoning.html
%%

-module(sum_types) .
-export([simplify/1,print/1,main/0]) .

-type expr() :: myvar(string()) | const(integer()) | add(expr(),expr()) | mul(expr(),expr()) .

-type myvar(A) :: {var,A} .

kaychaks

1. Feature Learning

• Learning Feature Representations with K-means by Adam Coates and Andrew Y. Ng
• The devil is in the details: an evaluation of recent feature encoding methods by Chatfield et. al.
• Emergence of Object-Selective Features in Unsupervised Feature Learning by Coates, Ng
• Scaling Learning Algorithms towards AI Benjio & LeCun

2. Deep Learning

• Dropout: A Simple Way to Prevent Neural Networks from Overfitting by Nitish Srivastava, Geoffrey Hinton, Alex Krizhevsky, Ilya Sutskever and Ruslan Salakhutdinov
• [Understanding the difficulty of training deep feedforward neural networks](http://jmlr.org/proceedings/papers/v9/glorot10a/gloro

kaychaks

Keybase proof

I hereby claim:

• I am kaychaks on github.
• I am kaushikc (https://keybase.io/kaushikc) on keybase.
• I have a public key whose fingerprint is 7D28 A83E 1A1C CE87 4E3B DC12 604E 119F FCEF F635

To claim this, I am signing this object: