Neural Networks & Deep Learn

Catalog description

Covers the main topics necessary to design, train, evaluate and apply neural networks and deep learning in various contexts. Biological inspiration, network architectures and learning paradigms, unsupervised neural networks, single and multi-layer networks, recurrent networks, convolutional neural networks, generative models, deep reinforcement learning, transfer learning and pretrained models.