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Preston Tranbarger edited this page Feb 20, 2019 · 23 revisions

Release 1

Constructor

Parameters

The constructor passes 2 parameters: an array containing the amount of nodes in each layer, and a number that dictates the learning rate in stochastic gradient decent.

Example

nn = basicNeuralNet([2, 3, 1], 0.1)

This creates a neural network with 2 nodes in its input layer, 3 nodes in its 1st intermediate layer and 1 node in its output layer, and it sets the learning rate to be 0.1

Released 2/15/19 by QPU Misaligned

Repository:

https://github.com/QPU-Misaligned/Basic-Neural-Network

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