New York University 3 credits Elect. Engineering - ECE GRAD
This course provides an overview of deep neural network learning (covering mathematical foundations as well as example applications in NLP, computer vision, and reinforcement learning). Upon successful completion, students will be able to grasp the mathematical basics of deep learning, solve practical machine learning problems in applications, and implement software prototypes of deep learning solutions to these problems. | Prerequisites: ECE-GY 6143 or CS-GY 6923 or equivalent graduate course, Anti-Requisite: CE-GY 7893 Prerequisites: ECE-GY 6143 or CS-GY 6923 or equivalent graduate course, Anti-Requisite: CE-GY 7893.
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