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CNN Implementation with Numpy by John Solomon is a document available to read on EtoBox.

What is CNN Implementation with Numpy about?

This document provides instructions for implementing basic CNN operations like padding, convolution, pooling using NumPy. It includes code snippets to perform: 1. Zero padding on input data 2. Convolution using a defined filter in a strided manner 3. Edge detection using a predefined filter 4. Max pooling on the convolved output The document contains detailed comments and code cells to implement these CNN layers step-by-step and visualize the outputs to verify the implementations.

Author

John Solomon

Language

EN