Predicting output

Once a net is trained, it can of course be used for making predictions. In TensorFlow, this is very simple. We can use this method:

# Making predictions.
predictions = model.predict(X)

For a given input, several types of output can be computed including a method model.evaluate() used to compute the loss values, a method model.predict_classes() used to compute category outputs, and a method model.predict_proba() used to compute class probabilities.