Multilayer perceptrons (MLPs)
The first of the three networks we will be looking at is known as a multilayer perceptrons or (MLPs). Let's suppose that the objective is to create a neural network for identifying numbers based on handwritten digits. For example, when the input to the network is an image of a handwritten number 8, the corresponding prediction must also be the digit 8. This is a classic job of classifier networks that can be trained using logistic regression. To both train and validate a classifier network, there must be a sufficiently large dataset of handwritten digits. The Modified National Institute of Standards and Technology dataset or MNIST for short, is often considered as the Hello World! of deep learning and is a suitable ...
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