Convolutional neural networks (CNNs)
We're now going to move onto the second artificial neural network, Convolutional Neural Networks (CNNs). In this section, we're going solve the same MNIST digit classification problem, instead this time using CNNs.
Figure 1.4.1 shows the CNN model that we'll use for the MNIST digit classification, while its implementation is illustrated in Listing 1.4.1. Some changes in the previous model will be needed to implement the CNN model. Instead of having input vector, the input tensor now has new dimensions (height, width, channels) or (image_size, image_size, 1) = (28, 28, 1) for the grayscale MNIST images. Resizing the train and test images will be needed to conform to this input shape requirement.