Description Usage Arguments Value
This function finetunes a DArch network using SGD approach
1 2 3 | finetune_SGD_bn(darch, trainData, targetData, learn_rate_weight = exp(-10),
learn_rate_bias = exp(-10), learn_rate_gamma = exp(-10),
errorFunc = meanSquareErr, with_BN = T)
|
darch |
a darch instance |
trainData |
training input |
targetData |
training target |
learn_rate_weight |
leanring rate for the weight matrices |
learn_rate_bias |
learning rate for the biases |
learn_rate_gamma |
learning rate for the gammas |
errorFunc |
the error function to minimize during training |
with_BN |
logical value, T to train the neural net with batch normalization |
a darch instance with parameters updated with stochastic gradient descent
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