Deep Learning. 3.0 Credits. Class-2.0. Clinical-0.0. Lab-3.0. Work-0.0

Catalog description

This course covers deep learning foundations and deep learning platforms. Topics include neural networks, vectorization, machine learning, artificial intelligence, and computations underlying deep learning. Upon completion, students should be able to demonstrate an understanding of how neural networks are developed and are implemented in machine learning.