January 2018
Intermediate to advanced
474 pages
10h 23m
English
Content preview from Mastering TensorFlow 1.x
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MultiLayer Perceptron
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:
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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