Visualizing a neural network as it learns

What it does

This visualization implements a simple neural network with backpropagation that can learn basic logical operators in real time. The canvas displays a three-layer neural network: two input neurons on the left, five hidden neurons in the middle, and one output neuron on the right. The lines connecting them represent the weights between neurons. Light lines indicate positive weights and dark lines indicate negative weights. Thicker lines mean the weight has a larger absolute value. Click Start to begin training. The neural network will repeatedly adjust its weights to learn the selected logical operator. You can switch between XOR, OR, NAND, and AND at any time and watch the network adapt to…from emergentmind.com

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  Discussions: Hacker News (63 points, 8 comments), Reddit r/programming (312 points, 37 comments) Translations: Arabic, French, Spanish Update: Part 2 is now live: A Visual And Interactive Look at Basic Neural Network Math Motivation I’m not a machine learning expert. I’m a software engineer by train

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