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.
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)