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CS60010: Deep Learning CNN - Part 3: Sudeshna Sarkar PDF

167 Pages·2021·English
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by ['DEEP ROY']| 2021| 167 pages| English

About CS60010: Deep Learning CNN - Part 3: Sudeshna Sarkar

This document summarizes several classic convolutional neural network architectures for image classification: 1) LeNet-5 was one of the earliest CNNs and had a [CONV-POOL-CONV-POOL-CONV-FC] structure. 2) AlexNet significantly outperformed other methods in the 2012 ImageNet challenge using GPUs and large datasets. Its architecture included 5 CONV layers, some max pooling layers, and 3 fully connected layers. 3) VGGNet placed second in the 2014 ImageNet challenge using a deeper network of 16-19 layers composed solely of stacked 3x3 convolution filters to achieve large receptive fields.

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Author:['DEEP ROY']
Publication Year:2021
Pages:167
Language:English
Format:PDF
Price:FREE
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