1. Torch7 && ConvNet

2. = Torch7
● Torch7: http://torch.ch/
● Easy Install(On Mac OS / Ubuntu):
https://github.com/torch/ezinstall/
● Programming in Lua && Learn Lua in 15 Mins
http://tylerneylon.com/a/learn-lua/
● Machine Learning with Torch7:
http://code.cogbits.com/wiki/doku.php

3. = Conv Net – Demo
● Demo:http://yann.lecun.com/exdb/lenet/
● Classification:
http://www.cs.toronto.edu/~fritz/absps/imagenet
.pdf

4. = Conv Net – Intro
● Large-Scale Visual Recognition With Deep
Learning:
http://www.cs.toronto.edu/~ranzato/publication
s/ranzato_cvpr13.pdf
● Example:

5. = Conv Net – Conv

6. = Conv Net – Pooling

7. = Conv Net – ReLU && LCN
● ReLU (Faster training)
– f(x) = max(0, x)
● LCN
– hi+1, x, y=
hi, x , y−mi, N (x , y)
σi, N ( x , y )

9. = Conv Net – Application
● Joint Trainning of a Convolutional Network and a
Graphical Model for Human Pose Estimation
(NIPS 2014)
● Leaning Human Pose Estimation Features with
Convolutional Networks (ICLR 2014)
● More:
http://cims.nyu.edu/~tompson/cs_portfolio.html

10. = Conv Net – Application
● Joint Trainning …... (Section 3.1 , Convolutional
Network Part-Detector)
●

11. = Conv Net – Face Detector
● Github:
https://github.com/jonathantompson/geiger_fac
edetector
● Others:
– https://github.com/torch/torch7/wiki/Cheatsheet#de
mos

12. = Links
● http://www.cs.toronto.edu/~ranzato/publication
s/ranzato_cvpr13.pdf
● http://deeplearning.stanford.edu/wiki/index.php
/UFLDL_Tutorial
● http://cims.nyu.edu/~tompson/cs_portfolio.html
● http://code.madbits.com/wiki/doku.php