#008 CNN An Example of A Convolutional Neural Network Master Data Science

This would be a typical design of a \(ConvNet \). All of the work and designing a convolutional neural net is selecting its \(hyperparameters \): deciding what's the filter size, what's the stride, what's the padding and how many filters to use. We will give some suggestions later and some guidelines for how to make these choices. At the moment, one thing to take away from this is that as we go deeper in the neural network, typically we start off with larger images \(39\times 39 \), and then the height and width will stay the same for a while and gradually trend down as we go deeper in the neural network. That is, the size has gone from \(39 \) to \(37 \) to \(17 \) to \(7 \), whereas the number of channels generally increases (from \(3 \) to \(10 \) to \(20 \) to \(40 \)).