June 2018
Intermediate to advanced
436 pages
10h 33m
English
The following is a list of important hyperparameters and their details. Here, I will try to construct a five-layered CNN, as follows:
ConvolutionLayer layer_0 = new ConvolutionLayer.Builder(6,6) .nIn(nChannels) .stride(2,2) // default stride(2,2) .nOut(20) // # of feature maps .dropOut(0.7) // dropout to reduce overfitting .activation(Activation.RELU) // Activation: rectified linear units .build();