March 2019
Intermediate to advanced
642 pages
22h 54m
English
A single layer neural network has the following architecture: the inputs form the input layer, the middle layer that performs the processing is called the hidden layer, and the outputs form the output layer. The hidden layer can convert the input to the desired output. Understanding the hidden layer requires knowledge of weights, bias, and activation functions.
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