ENSC 895 - Special Topics: Deep Learning Systems ENSC 895 - Special Topics: Deep Learning Systems
Fall 2017

Instructor Teaching Assistants Lectures Course description

Introduction to machine learning and artificial neural networks; feasibility of learning; deep feedforward networks; regularization in deep learning; optimization of deep learning models; convolutional networks; recurrent and recursive networks; applications.

Course material Recommended reading