Name		Name	Last commit message	Last commit date
Latest commit History 1 Commit
lib		lib
README.md		README.md
checkNNGradients.m		checkNNGradients.m
computeNumericalGradient.m		computeNumericalGradient.m
debugInitializeWeights.m		debugInitializeWeights.m
displayData.m		displayData.m
ex4.mlx		ex4.mlx
ex4_companion.mlx		ex4_companion.mlx
ex4data1.mat		ex4data1.mat
ex4weights.mat		ex4weights.mat
fmincg.m		fmincg.m
nnCostFunction.m		nnCostFunction.m
predict.m		predict.m
randInitializeWeights.m		randInitializeWeights.m
sigmoid.m		sigmoid.m
sigmoidGradient.m		sigmoidGradient.m
submit.m		submit.m
token.mat		token.mat

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Neural-Networks-Learning

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The Neural Network is one of the most powerful learning algorithms (when a linear classifier doesn't work, this is what I usually turn to), and this week's videos explain the 'backpropagation' algorithm for training these models. In this week's programming assignment, you'll also get to implement this algorithm and see it work for yourself.

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