Instructors: Yann LeCun & Alfredo Canziani
Lecutures: Mondays, 16:55 – 18:35
Practica: Tuesdays, 19:10 – 20:00
Material: Google Drive, Notebooks
NYU Deep Learning Reddit
This course concerns the latest techniques in deep learning and representation learning, focusing on supervised and unsupervised deep learning, embedding methods, metric learning, convolutional and recurrent nets, with applications to computer vision, natural language understanding, and speech recognition. The prerequisites include: DS-GA 1001 Intro to Data Science or a graduate-level machine learning course.
Legend: 🖥 slides, 📓 Jupyter notebook, 🎥 YouTube video.
About: Silver Professor of Computer Science and Data Science, NYU and Turing Award Winner
About: Research Assistant Professor of Computer Science