0x04-convolutions_and_pooling

0x04. Convolutions and Pooling

Description

This project is about creating functions for convolutions and pooling on images.

General Objectives

• What is a convolution?
• What is max pooling? average pooling?
• What is a kernel/filter?
• What is padding?
• What is “same” padding? “valid” padding?
• What is a stride?
• What are channels?
• How to perform a convolution over an image
• How to perform max/average pooling over an image

Mandatory Tasks

File	Description
0-convolve_grayscale_valid.py	Performs a valid convolution on grayscale images.
1-convolve_grayscale_same.py	Performs a same convolution on grayscale images.
2-convolve_grayscale_padding.py	Performs a convolution on grayscale images with custom padding
3-convolve_grayscale.py	Performs a convolution on grayscale images.
4-convolve_channels.py	Performs a convolution on images with channels.
5-convolve.py	Performs a convolution on images using multiple kernels.
6-pool.py	Performs pooling on images.