This document provides an overview of Torch7 and convolutional networks (ConvNets). It introduces Torch7 and links for installation and learning Lua. It also summarizes papers on large-scale visual recognition with deep learning and human pose estimation with convolutional networks. Sections cover ConvNet demonstrations, introductions, concepts like convolutions, pooling, ReLU and LCN activations. Applications discussed include human pose estimation, face detection with links to code repositories.

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