Deep Learning

Catalog description

Deep learning is the sub-field of machine learning that deals with learning complex, hierarchical feature representations from data using artificial neural networks. The course covers the basic building blocks of neural networks - including dense, convolutional, pooling, and attention layers, activation functions, model optimization algorithms, loss functions, regularization techniques and common architectures - including sequential, recurrent, residual, and transformers.