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coursera-ml-007-exercises/ex3
2014-11-06 01:19:29 +01:00
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displayData.m Add exercise 3 2014-10-21 20:59:55 +02:00
ex3.m Add exercise 3 2014-10-21 20:59:55 +02:00
ex3_nn.m Add exercise 3 2014-10-21 20:59:55 +02:00
ex3data1.mat Add exercise 3 2014-10-21 20:59:55 +02:00
ex3weights.mat Add exercise 3 2014-10-21 20:59:55 +02:00
fmincg.m Add exercise 3 2014-10-21 20:59:55 +02:00
lrCostFunction.m Vectorized regularized logistic regression, again 2014-10-21 21:20:26 +02:00
oneVsAll.m Train num_labels one-vs-all logistic regression classifiers 2014-10-23 21:17:20 +02:00
predict.m Add neural network prediction function 2014-10-23 23:36:15 +02:00
predictOneVsAll.m Add prediction function for one-vs-all classification 2014-10-23 22:24:55 +02:00
sigmoid.m Add exercise 3 2014-10-21 20:59:55 +02:00
submit.m Add exercise 3 2014-10-21 20:59:55 +02:00
submitWeb.m Add exercise 3 2014-10-21 20:59:55 +02:00