Regression with Neural Networks

Regression from Numeric Data

Train a predictor that predicts the median value of properties in a neighborhood of Boston, given some features of the neighborhood.

First, obtain the training and validation data:

Define a net that returns a scalar:

Train the net and determine the lowest validation loss:

Make a prediction:

Train a predictor using Predict instead, and obtain the mean squared loss on the test set:

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