October 2017
Beginner to intermediate
270 pages
7h
English
Content preview from Machine Learning for Developers
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Single and multilayer perceptrons
Now we will discuss more contemporary times, building on the previous concepts to allow more complex elements of reality to be modeled.
In this section, we will directly study multilayer perceptrons (MLPs), which are the most common configuration used, and will consider a single-layer perceptron as a particular case of the former, highlighting the differences.
Single-layer and multilayer perceptrons were the most commonly used architecture during the 1970s and 1980s and provided huge advances in terms of the capabilities of neural systems. The main innovations they bring to the table are as follows:
- They are feedforward networks because the calculations, starting from the inputs, flow from layer to layer ...
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