Course information

"Introduction to Deep Learning" course aims to provide an overview of general DL design principles and the most common applications. Mainstream DL approaches, methods, and applications are considered and discussed. The course contains two homework assignments. Each assignment includes theoretical and practical tasks. In the theoretical part, you must write mathematical equations describing the neural network's forward and backward passes. The outcome of the valuable part is code written in Python: you will be asked to develop the neural network "from scratch."