October 2017
Beginner to intermediate
270 pages
7h
English
Content preview from Machine Learning for Developers
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The perceptron model
The perceptron model is one of the simplest ways to implement an artificial neuron. It was initially developed at the end of the 1950s, with the first hardware implementation being carried out in the 1960s. First, it was the name of a machine, and later became the name of an algorithm. Yes, perceptrons are not the strange entities we always thought they were, they're what you as a developer handle each day— algorithms!
Let's take a look at the following steps and learn how it works:
- Initialize the weights with a random (low value) distribution.
- Select an input vector and present it to the network.
- Compute the output y' of the network for the input vector specified and the values of the weights.
The function for a perceptron ...
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