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文库首页人工智能深度学习Introduction to Convolutional Networks

Introduction to Convolutional Networks

CNN,

Deep

Learning,

深度学习

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Introduction to Convolutional Networks 深度学习CNN课件 Rob Fergus Facebook AI Research New York University

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Introduction to

Convolutional Networks

Rob Fergus

Facebook AI Research

New York University

CIFAR Summer School 2016

Overview

• Look at some of the recent progress with

Convolutional Network models

– Assume familiarity with basic neural nets

• Non-exhaustive coverage

– Huge number of recent papers

• Review some computer vision applications

Perceptron

Neural Net

Boosting

SVM

GMM

BayesNP

Convolutional Neural Net

Recurrent Neural Net

AutoencoderNeural Net

Sparse Coding

Restricted BM

Deep Belief Net

Deep (sparse/denoising) Autoencoder

UNSUPERVISED

SUPERVISED

DEEP SHALLOW

Slide: M. Ranzato

Convolutional Neural Networks

• LeCun et al. 1989

• Neural network with specialized

connectivity structure

Multistage Hubel-Wiesel Architecture

Slide: Y.LeCun

• Stack multiple stages of simple cells / complex cells layers

• Higher stages compute more global, more invariant features

• Classification layer on top

History:

• Neocognitron [Fukushima 1971-1982]

• Convolutional Nets [LeCun 1988-2007]

• HMAX [Poggio 2002-2006]

• Many others….

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