Convolutional Neural Nets

Nice intro to one of the most useful net architectures for classification today.   Direct implementation:

Convolutional Neural Networks from the ground up in Towardsdatascience

A NumPy implementation of the famed Convolutional Neural Network: one of the most influential neural network architectures to date.

When Yann LeCun published his work on the development of a new kind of neural network architecture [1], the Convolutional Neural Network (CNN), his work went largely unnoticed. It took 14 years and a team of researchers from The University of Toronto to bring CNN’s into the public’s view during the 2012 ImageNet Computer Vision competition. Their entry, which they named AlexNet after chief architect Alex Krizhevsky, achieved an error of only 15.8% when tasked with classifying millions of images from thousands of categories [2]. Fast forward to 2018 and the current state-of-the-art Convolutional Neural Networks achieve accuracies that surpass human-level performance [3]. .... "