Deep Learning

Brain-inspired Deep Learning (DL) is a subfield of machine learning that trains neural network based models to perform human-like tasks, such as identifying images, recognizing speech, or making predictions. A DL system is trained rather than explicitly programmed. To train a DL system, a set of example data as well as the answers expected from the data are used. This course will cover a range of topics from dense networks, Convolutional Neural Networks (CNN), recurrent neural networks and long short-term memory (LSTM), and Generative Adversarial Networks (GAN). Students will apply deep learning to real-world problems as class projects.