What Will You Learn?

• Explain what a deep learning model is, what a neural network is, and how they differ from one another.
• Show that you are familiar with unsupervised deep learning models such as limited Boltzmann machines and autoencoders.
• Show that you are familiar with supervised deep learning models like recurrent and convolutional neural networks.
• Use the Keras library to create deep-learning models and networks.