Prereq: MA 320/STA 320 (or STA 524), MA 321/CS 321, and MA 322; or graduate student status; or consent of the department. Fluency with the Python programming language will be assumed.
This course introduces deep learning with its mathematical foundation, algorithms, and programming tools. Students will learn the basics of deep learning algorithms and gain related foundational knowledge in linear algebra, optimization, and probability and information theory. The students will also get programming experiences in building deep neural networks for some real-world data problems.
This course introduces deep learning with its mathematical foundation, algorithms, and programming tools. Students will learn the basics of deep learning algorithms and gain related foundational knowledge in linear algebra, optimization, and probability and information theory. The students will also get programming experiences in building deep neural networks for some real-world data problems.