Description: ex4.m- Octave script that will help step you through the exercise
ex4data1.mat- Training set of hand-written digits
ex4weights.mat- Neural network parameters for exercise 4
submit.m- Submission script that sends your solutions to our servers
submitWeb.m- Alternative submission script
displayData.m- Function to help visualize the dataset
fmincg.m- Function minimization routine (similar to fminunc)
sigmoid.m- Sigmoid function
computeNumericalGradient.m- Numerically compute gradients
checkNNGradients.m- Function to help check your gradients
debugInitializeWeights.m- Function for initializing weights
predict.m- Neural network prediction function
[?] sigmoidGradient.m- Compute the gradient of the sigmoid function
[?] randInitializeWeights.m- Randomly initialize weights
[?] nnCostFunction.m- Neural network cost function
To Search:
File list (Check if you may need any files):
mlclass-ex4\checkNNGradients.m
...........\computeNumericalGradient.m
...........\debugInitializeWeights.m
...........\displayData.m
...........\ex4.m
...........\ex4data1.mat
...........\ex4weights.mat
...........\fmincg.m
...........\ml_login_data.mat
...........\nnCostFunction.m
...........\predict.m
...........\randInitializeWeights.m
...........\sigmoid.m
...........\sigmoidGradient.m
...........\submit.m
...........\submitWeb.m
mlclass-ex4
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