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  3. Introduction to Deep Learning in Python

Exercise

Compiling the model

You're now going to compile the model you specified earlier. To compile the model, you need to specify the optimizer and loss function to use. In the video, Dan mentioned that the Adam optimizer is an excellent choice. You can read more about it as well as other Keras optimizers here, and if you are really curious to learn more, you can read the original paper that introduced the Adam optimizer.

In this exercise, you'll use the Adam optimizer and the mean squared error loss function. Go for it!

Instructions

100 XP
  • Compile the model using model.compile(). Your optimizer should be 'adam' and the loss should be 'mean_squared_error'.