Most viewed recipes tagged "propagation" Code RecipesSimple Back-propagation Neural Network in Python source code (Python) 2012-05-30T17:09:49-07:00David Adler <p style="color: grey"> Python recipe 578148 by <a href="/recipes/users/4182015/">David Adler</a> (<a href="/recipes/tags/back/">back</a>, <a href="/recipes/tags/back_propagation/">back_propagation</a>, <a href="/recipes/tags/neural/">neural</a>, <a href="/recipes/tags/neural_network/">neural_network</a>, <a href="/recipes/tags/propagation/">propagation</a>, <a href="/recipes/tags/python/">python</a>). </p> <p>This is a slightly different version of this <a href="" rel="nofollow"></a></p> Teach your computer a few tricks (Python) 2014-09-11T06:25:14-07:00Alexander Pletzer <p style="color: grey"> Python recipe 578932 by <a href="/recipes/users/4190754/">Alexander Pletzer</a> (<a href="/recipes/tags/anl/">anl</a>, <a href="/recipes/tags/back/">back</a>, <a href="/recipes/tags/network/">network</a>, <a href="/recipes/tags/neural/">neural</a>, <a href="/recipes/tags/propagation/">propagation</a>). </p> <p>Following is an artifical neural network program that takes any number of inputs and any number of hidden layers, and spits out an output. It applies back propagation with regularization to minimize the cost function. A gradient descent algorithm tries to find the minimum of the cost function in the landscape of weights. </p>