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Introduction

Welcome to Synaptic's wiki! There is tons of material on how to create (and understand!) neural networks. The library includes a few pre-built network architectures like Perceptrons and Hopfields. Those are discussed at the architecture page. If you want to roll on your own, take a look at the basics of creating and modifying a network at the network page. If you want to go even deeper, check out the layer and neuron pages. And last but not least, setting up a training scheme for your network is explained on the trainer page.

Useful links

• If you have no prior knowlegde about neural networks, start here
• If you want to know how you feed custom data to a neural network, check out this
• If you want to get started on neural networks in JS in general, read this artickle
• If you want to apply genetic algorithms on neural networks, check out this library

Demos

• Solve an XOR
• Discrete Sequence Recall Task
• Learn Image Filters
• Paint an Image
• Self Organizing Map
• Read from Wikipedia

Talks

• Machine Learning with Node.js - An introduction to neural networks on the basis of synaptic.
• Also covering how to check the performance of the algorithm and how to tackle the error rate. PDF slides