September 2017
Beginner to intermediate
270 pages
5h 53m
English
Content preview from Neural Networks with R
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Activation functions
The abstraction of the processing of neural networks is mainly achieved through the activation functions. An activation function is a mathematical function which converts the input to an output, and adds the magic of neural network processing. Without activation functions, the working of neural networks will be like linear functions. A linear function is one where the output is directly proportional to input, for example:
A linear function is a polynomial of one degree. Simply, it is a straight line without any curves. ...