1. To know the fundations of supervised machine-learning techniques and to be able to apply them to concrete problems.
2. To identify and understand the main concepts of deep-learning methods, the different types of neural models, architectures, and optimization techniques.
3. To understand, and be able to train and apply deep convolutional neural networks to complex problems.
4. To understand, and be able to train and apply deep recurrent neural networks to sequence modelling and other related problems.

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