Скачать или смотреть Implementing Full Cross-correlation operation | Let's learn - CNN from scratch in Go - 9

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In order to implement Backward pass for Convolution layer I need to implement full cross-correlation in addition to valid mode.

Here I continue to dive into neural networks area, now with implementation of Convolutional Neural Networks. I use the foundation from Neural networks from scratch series to build new Layers and other things for CNN. Again, all the code will be written in Golang instead of Python, but we will use Python code as references
The goal is to learn how neural networks are made inside and how it looks like to build is fully from the scratch without using frameworks like pytorch or tensorflow. We’ll have to find alternative in Go or reimplement some operations fully from the ground.


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