Deep Playground
Deep Playground is an interactive visualization of neural networks, written in TypeScript using d3.js. Tinker with a Neural Network right inside your browser without any coding or additional package installation.
Deep learning using neural network is a technique for building a computer program that learns from data. It is based very loosely on how we think the human brain works. First, a collection of software “neurons” are created and connected together, allowing them to send messages to each other. Next, the network is asked to solve a problem, which it attempts to do over and over, each time strengthening the connections that lead to success and diminishing those that lead to failure.
Deep playground is open sourced and is available on GitHub.
Created by Daniel Smilkov & Shan Carter and is a continuation of many people’s previous work — most notably Andrej Karpathy’s convnet.js demo and Chris Olah’s articles about neural networks.
Books to learn about Deep learning and Neural Networks