This repository provides course materials for a deep learning curriculum developed by YSDA, HSE, and Skoltech. The course includes weekly lecture and practice materials covering topics such as backpropagation, adaptive optimization methods, dropout, batch normalization, convolutional neural networks, and computer vision tasks. Assignments are designed to be completed locally or in Google Colab, with PyTorch used as the primary framework for deep learning exercises.