Article | REF: H3730 V1

Introduction to Neural Networks

Authors: Daniel ETIEMBLE, Fabrice AUZANNEAU

Publication date: March 10, 2023

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4. Deep neural networks (DNN)

The main feature of deep neural networks is their large number of hidden layers. There are three main classes of deep neural networks:

  • fully connected unidirectional neural networks, also known as artificial neural networks (ANN) or multi-layer perceptrons (MLP);

  • convolutional neural networks (CNNs) are unidirectional, with specific layers that perform pre-processing;

  • in recurrent neural networks, information can flow in both directions.

4.1 Artificial neural networks (ANN)

They operate on the principle described for the perceptron, with a large number of layers. This type of network is used to classify non-linear data. They are used...

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Deep neural networks (DNN)