DEEP LEARNING · Deep LearningDescription 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 and Deep Learning Textbook - Cornell University - DataScienceCentral.com
