Deep Learning with the Analytical Engine

Adam P. Goucher, GitHub, Mar 30, 2016
Commentary by Stephen Downes

Cool but challenging. "This repository contains an implementation of a convolutional neural network as a program for Charles Babbage's Analytical Engine, capable of recognising handwritten digits to a high degree of accuracy (98.5% if provided with a sufficient amount of training data and left running sufficiently long)." See also Neural Networks and Deep Learning, " a free online book by Michael Nielsen, which is almost certainly the best hands-on introduction to the subject of neural networks and deep learning. It gives a detailed and accessible introduction to how neural networks are structured, the details of stochastic gradient descent and backpropagation, and a brief introduction to convolutional neural networks."

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