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Torch7 && ConvNet
= Torch7 
● Torch7: http://torch.ch/ 
● Easy Install(On Mac OS / Ubuntu): 
https://github.com/torch/ezinstall/ 
● Programm...
= Conv Net – Demo 
● Demo:http://yann.lecun.com/exdb/lenet/ 
● Classification: 
http://www.cs.toronto.edu/~fritz/absps/ima...
= Conv Net – Intro 
● Large-Scale Visual Recognition With Deep 
Learning: 
http://www.cs.toronto.edu/~ranzato/publication ...
= Conv Net – Conv
= Conv Net – Pooling
= 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,...
= Conv Net – Application 
● Joint Trainning of a Convolutional Network and a 
Graphical Model for Human Pose Estimation 
(...
= Conv Net – Application 
● Joint Trainning …... (Section 3.1 , Convolutional 
Network Part-Detector) 
●
= Conv Net – Face Detector 
● Github: 
https://github.com/jonathantompson/geiger_fac 
edetector 
● Others: 
– https://gith...
= Links 
● http://www.cs.toronto.edu/~ranzato/publication 
s/ranzato_cvpr13.pdf 
● http://deeplearning.stanford.edu/wiki/i...
Torch7 and ConvNet
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Torch7 and ConvNet

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Torch7 and ConvNet

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Torch7 and ConvNet

  1. 1. Torch7 && ConvNet
  2. 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. 3. = Conv Net – Demo ● Demo:http://yann.lecun.com/exdb/lenet/ ● Classification: http://www.cs.toronto.edu/~fritz/absps/imagenet .pdf
  4. 4. = Conv Net – Intro ● Large-Scale Visual Recognition With Deep Learning: http://www.cs.toronto.edu/~ranzato/publication s/ranzato_cvpr13.pdf ● Example:
  5. 5. = Conv Net – Conv
  6. 6. = Conv Net – Pooling
  7. 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 )
  8. 8. = 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
  9. 9. = Conv Net – Application ● Joint Trainning …... (Section 3.1 , Convolutional Network Part-Detector) ●
  10. 10. = Conv Net – Face Detector ● Github: https://github.com/jonathantompson/geiger_fac edetector ● Others: – https://github.com/torch/torch7/wiki/Cheatsheet#de mos
  11. 11. = 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

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