Layer;Type;Shape Input;3-tensor;3×256×256 ConvolutionLayer;3-tensor;16×252×252 BatchNormalizationLayer;3-tensor;16×252×252 "Ramp (ReLU)";3-tensor;16×252×252 PoolingLayer;3-tensor;16×126×126 ConvolutionLayer;3-tensor;32×122×122 BatchNormalizationLayer;3-tensor;32×122×122 "Ramp (ReLU)";3-tensor;32×122×122 PoolingLayer;3-tensor;32×61×61 ConvolutionLayer;3-tensor;64×57×57 BatchNormalizationLayer;3-tensor;64×57×57 "Ramp (ReLU)";3-tensor;64×57×57 PoolingLayer;3-tensor;64×28×28 ConvolutionLayer;3-tensor;48×26×26 BatchNormalizationLayer;3-tensor;48×26×26 "Ramp (ReLU)";3-tensor;48×26×26 PoolingLayer;3-tensor;48×13×13 FlattenLayer;vector;8112 DropoutLayer;vector;8112 LinearLayer;vector;500 "Ramp (ReLU)";vector;500 LinearLayer;vector;2 SoftmaxLayer;vector;2 Output;class;