Tag Archives: neural network

Deep Learning vs. Neural Network Learning: Whiteboard Walkthrough

Hello, and welcome to the MapR Whiteboard Walkthrough session. My name is Sungwook Yoon. I’m a Data Scientist at MapR, and am part of the Professional Services team. Today, I’m going to talk about deep learning. Original Post>>

Architecture-free neural network library for node.js and the browser

Architecture-free neural network library for node.js and the browser

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Synaptic is a javascript neural network library for node.js and the browser, its generalized algorithm is architecture-free, so you can build and train basically any type of first order or even second order neural network architectures.

This library includes a few built-in architectures like multilayer perceptrons, multilayer long-short term memory networks (LSTM) or liquid state machines, and a trainer capable of training any given network, which includes built-in training tasks/tests like solving an XOR, completing a Distracted Sequence Recall task or an Embedded Reber Grammar test, so you can easily test and compare the performance of different architectures.

The algorithm implemented by this library has been taken from Derek D. Monner’s paper:

A generalized LSTM-like training algorithm for second-order recurrent neural networks

There are references to the equations in that paper commented through the source code.