October 2017
Beginner to intermediate
270 pages
7h
English
Content preview from Machine Learning for Developers
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Defining loss functions for neural networks
As with every model in machine learning, we will explore the possible functions that we will use to determine how well our predictions and classification went.
The first type of distinction we will do is between the L1 and L2 error function types.
L1, also known as least absolute deviations (LAD) or least absolute errors (LAE), has very interesting properties, and it simply consists of the absolute difference between the final result of the model and the expected one, as follows:
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