Convolution Image Size, Filter Size, Padding and Stride

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…

Calculating Parameters of Convolutional and Fully Connected Layers with Keras, by Yan Ding

机器学习中的优化方法- 知乎

7.3. Padding and Stride — Dive into Deep Learning 1.0.3 documentation

machine learning - What is Depth of a convolutional neural network? - Stack Overflow

机器学习中的优化方法- 知乎

机器学习中的优化方法- 知乎

Convolution, Padding, Stride, and Pooling in CNN, by Abhishek Kumar Pandey, Analytics Vidhya

4: Convolution operation by a (3 × 3) filter with stride=1, padding=1

Cancers, Free Full-Text

机器学习中的优化方法- 知乎

4 An example of convolution. Filter size f = 3, stride s = 1 and

Enlarging smaller images before inputting into convolutional neural network: zero-padding vs. interpolation, Journal of Big Data

Cancers, Free Full-Text

PPT - Binary Image Processing PowerPoint Presentation, free

机器学习中的优化方法- 知乎