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For image classification tasks, a common choice for convolutional neural network (CNN) architecture is repeated blocks of convolution and max pooling layers, followed by two or more densely connected layers. The final dense layer has a softmax activation function and a node for each potential object category. As an example, consider the VGG-16 model architecture, depicted in the figure below. We c