Introduction To Deep Learning

This course extends what the student learned in Machine Learning I. The focus of this course will be on deep learning. Students will explore the structure and design of deep feedforward, convolutional and recurrent networks. Techniques for dealing with over- and underfitting, as well as optimization for training, will be covered. Students will also learn practical methods for applying these techniques to various problems, as well as, developing and deploying models in an industry-standard cloud service.