The perceptron is an algorithm for supervised learning of binary classifiers. It is a type of linear classifier which makes predictions based on a combination of weights and feature vectors. It can decide whether or not an input belongs to a specific class.

This course provides a comprehensive introduction to deep learning, starting from foundational concepts and moving towards complex topics such as sequence-to-sequence models. Students gain hands-on experience with PyTorch and can fine-tune models through practical assignments. A basic understanding of calculus, linear algebra, and Python programming is required.