Deep Learning: Practical Neural Networks with Java

Deep architectures

There is a great variety of deep neural architectures with both feedforward and feedback flows, although they are typically feedforward. Main architectures are, without limitation to:

Convolutional neural network

In this architecture, the layers may have multidimensional organization. Inspired by the visual cortex of animals, the typical dimensionality applied to the layers is three-dimensional. In convolutional neural networks (CNNs), part of the signals of a preceding layer is fed into another part of neurons in the following layer. This architecture is feedforward and is well applied for image and sound recognition. The main feature that distinguishes this architecture from Multilayer Perceptrons is the partial connectivity ...