Convolution Image Size, Filter Size, Padding and Stride
By A Mystery Man Writer
Description
A convolutional neural network (CNN) applies a filter to an image in a very tricky way. When you use a CNN you have to be aware of the relationship between the image size, the filter size, the size of the padding around the image, and the distance the filter moves (the stride) during convolution. Without…
An illustration of padding and convolution operations in the CNN model.
a) S3Pool, in this example the size of feature map is 4x4 where, x = 4
7.3. Padding and Stride — Dive into Deep Learning 1.0.3 documentation
CONVULATIONAL PADDING AND STRIDE. WHAT IS CONVULATIONAL PADDING?, by lakshya ruhela
机器学习中的优化方法- 知乎
Convolutional Neural Network, Deep Learning
Padding in Convolutional Neural Networks - Deep Learning
机器学习中的优化方法- 知乎
Convolutional Neural Network — II, by Mandar Deshpande
Convolutional neural networks introduction - Machine Learning Group - Cosmos
Make Your Own Neural Network: Calculating the Output Size of Convolutions and Transpose Convolutions
CNN Introduction to Padding - GeeksforGeeks
How to test my own Conv2d implementation (just as a proof-of-concept) - PyTorch Forums
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