Training

You're going to train your first model in this course, and for a good cause!

Remember that before training your Keras models you need to compile them. This can be done with the .compile() method. The .compile() method takes arguments such as the optimizer, used for weight updating, and the loss function, which is what we want to minimize. Training your model is as easy as calling the .fit() method, passing on the features, labels and a number of epochs to train for.

The regression model you built in the previous exercise is loaded for you to use, along with the time_steps and y_positions data. Train it and evaluate it on this very same data, let's see if your model can learn the meteor's trajectory.

Compile your model making use of the 'adam' optimizer and 'mse' as your loss function.
Fit your model using the features and labels for 30 epochs.
Evaluate your model with the .evaluate() method, passing the features and labels used during training.

Exercise

Training

Instructions