[⋆] oneVsAll.m - Train a one-vs-all multi-class classifier [⋆] predictOneVsAll.m - Predict using a one-vs-all multi-class classifier For this part, we will use logistic regression and neural networks ...
You can change the training set, number of neurons in the hidden layer, and number of training epochs in main.m, batch_size。 The BPNetwork.m file contains the network structure, forward and backward ...
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