Lecture 9: CNN Architectures - Stanford University

Lecture 9: CNN Architectures

Fei-Fei Li & Justin Johnson & Serena Yeung

Lecture 9 - 1 May 2, 2017

Administrative

A2 due Thu May 4 Midterm: In-class Tue May 9. Covers material through Thu May 4 lecture. Poster session: Tue June 6, 12-3pm

Fei-Fei Li & Justin Johnson & Serena Yeung

Lecture 9 - 2 May 2, 2017

Last time: Deep learning frameworks

Paddle

(Baidu)

Caffe

(UC Berkeley)

Torch

(NYU / Facebook)

Theano

(U Montreal)

Caffe2

(Facebook)

PyTorch

(Facebook)

TensorFlow

(Google)

CNTK

(Microsoft)

MXNet

(Amazon)

Developed by U Washington, CMU, MIT, Hong Kong U, etc but main framework of choice at AWS

And others...

Fei-Fei Li & Justin Johnson & Serena Yeung

Lecture 9 - 3 May 2, 2017

Last time: Deep learning frameworks

(1) Easily build big computational graphs (2) Easily compute gradients in computational graphs (3) Run it all efficiently on GPU (wrap cuDNN, cuBLAS, etc)

Fei-Fei Li & Justin Johnson & Serena Yeung

Lecture 9 - 4 May 2, 2017

Last time: Deep learning frameworks

Modularized layers that define forward and backward pass

Fei-Fei Li & Justin Johnson & Serena Yeung

Lecture 9 - 5 May 2, 2017

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