December 2018
Intermediate to advanced
764 pages
18h 18m
English
When we connect the artificial neurons together, based on a well-defined structure, we call it a neural network. Here is the simplest neural network with one neuron:

We connect the neurons such that the output of one layer becomes the input of the next layer, until the final layer's output becomes the final output. Such neural networks are called feed forward neural networks (FFNN). As these FFNNs are made up of layers of neurons connected together, they are hence called MultiLayer Perceptrons (MLP) or deep neural networks (DNN).
As an example, the MLP depicted in the following diagram has ...
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