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CNN architecture overview. A convolution layer with 16 3 × 3 filters, and a stride of 1 × 1 is denoted by n16s1. The same, followed by a batch normalization layer (yellow) and a ReLU non-linearity (green) is denoted by n16_bn_relu. The learning rate used for training is 0.0001, the optimizer is SGD with momentum 0.9 and the batch size is set to 16.
