ENPM703
Fundamentals of AI and Deep Learning
Fundamentals of machine learning techniques with a deep dive into cutting edge concepts that enabled neural networks to achieve state of the art performance in many visual, textual, and biomedical problems. Fundamental concepts like forward networks, convolution networks, recurrent neural networks, back propagation, loss functions, batch gradient descent, and stochastic optimization will be studied.
Fall 2026
2 reviews
Average rating:
3.00
Summer 2026
2 reviews
Average rating:
3.00
Fall 2025
2 reviews
Average rating:
3.00
Past Semesters
2 reviews
Average rating:
3.00