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About VIP Cheatsheet: Convolutional Neural Networks: Afshine Amidi and Shervine Amidi November 26, 2018
This document provides an overview of convolutional neural networks (CNNs) with three key points: 1. CNNs are composed of convolutional layers, pooling layers, and fully connected layers. Convolutional layers use filters to extract features, pooling layers downsample features, and fully connected layers perform classification. 2. Convolutional layer hyperparameters include filter size, stride, padding, and number of filters. Pooling layers downsample spatially to provide invariance. 3. Receptive field size depends on filter sizes and strides of previous layers and indicates the input region each activation can see.
Detailed Information
| Author: | ['Saurabh Raghuvanshi'] |
|---|---|
| Publication Year: | 2019 |
| Pages: | 5 |
| Language: | English |
| Format: | |
| Price: | FREE |
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