April 2019
Beginner to intermediate
252 pages
4h 40m
English
Content preview from Machine Learning for Data Mining
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Multi-layer perceptron
The most common type is called the multi-layer perceptron model. This neural network model consists of neurons represented by circles, as shown in the following diagram. These neurons are organized into layers:
Every multi-layer perceptron model will have at least three layers:
- Input Layer: This layer consists of all the predictors in our data.
- Output Layer: This will consist of the outcome variable, which is also known as the dependent variable or target variable.
- Hidden Layer: This layer is where you maximize the power of a neural network. Non-linear relationships can also be created in this layer, and all the complex ...
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