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All Blog Posts Tagged 'Backpropagation' (1)

Inside the black box

Introduction

This post is designed show the internal changes of an Artificial Neural Network (ANN/NN), it shows the outputs of the neurons from the beginning of a Backpropagation algorithm to convergence.

The hope is for a better understanding of why we use a second hidden layer, local minimums, to how many internal nodes are required and their impact on the final solution.

The Dataset…

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Added by Sierra Oscar on November 15, 2017 at 9:33pm — No Comments

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