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Java for Data Science by Jennifer L. Reese, Richard M. Reese

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Deep learning and regression analysis

Neural networks can be used to perform regression analysis. However, other techniques (see the early chapters) may offer a more effective solution. With regression analysis, we want to predict a result based on several input variables.

We can perform regression analysis using an output layer that consists of a single neuron that sums the weighted input plus bias of the previous hidden layer. Thus, the result is a single value representing the regression.

Preparing the data

We will use a car evaluation database to demonstrate how to predict the acceptability of a car based on a series of attributes. The file containing the data we will be using can be downloaded from: http://archive.ics.uci.edu/ml/machine-learning-databases/car/car.data ...

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