Multi-input multi-output channel channel in CNN convolutional layer hands-on deep learning v2 pytorch

1. Multiple input multiple output channel channel in CNN convolutional layer

Concatenate multiple channels

1.1 Multiple input and output channels

• Each output channel can recognize a special mode
• The input channel convolution kernel recognizes and combines the patterns in the input
  
  1 x 1 convolution layer, which does not recognize spatial patterns, which is equivalent to the fusion channel, which is equivalent to being a fully connected layer MLP. Equal to 3 channels, reshape to a one-dimensional vector.

2. Handwritten code implementation from scratch

3. Introduction to pytorch implementation

reference

https://www.bilibili.com/video/BV1MB4y1F7of?p=1