October 2017
Beginner to intermediate
270 pages
7h
English
Content preview from Machine Learning for Developers
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Defining and graphing transfer function types
The learning properties of a neural network would not be very good with just the help of a univariate linear classifier. Even some mildly complex problems in machine learning involve multiple non-linear variables, so many variants were developed as replacements for the transfer functions of the perceptron.
In order to represent non-linear models, a number of different non-linear functions can be used in the activation function. This implies changes in the way the neurons will react to changes in the input variables. In the following sections, we will define the main different transfer functions and define and represent them via code.
In this section, we will start using some object-oriented programming ...
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