Deep Learning

3 credits · Undergraduate

Also listed as CS 4267. Models, algorithms, mathematical tools, and machine learning concepts used in deep learning. Modern practical deep feedforward, convolutional, and recurrent networks. Regularization for deep learning and optimization. Practical design methods. Serves as repeat credit for CS 4267. No credit for students who have earned credit for CS 5267 or ECE 5467. Prerequisite: CS 3250; CS 3251 or ECE 3251; MATH 2410 or 2600; MATH 2810 or 2820. SPRING. [3]