3.00 Credits
This course is an applied study of algorithms and models to perform deep learning on very large unstructured datasets, such as images, and texts. Topics include artificial neural networks, deep neural networks, deep learning models and training algorithms, optimizers, preparation of training data, measuring performance, and developing applications over the cloud. Prerequisites: DSCI 230 and MATH 214.Three credit hours.
Prerequisite:
( DSCI 230 and( MATH 214