DASC 5335 - Deep Learning

Credit Hours: 3 Lecture: 3 Lab: 0

Deep learning. Neural Networks (NN), Recurrent Neural Networks (RNN) and Convolutional Neural Network (CNN) and their applications in various domains. Theory, design, implementation and optimizations of different neural networks. Neural networks architecture. Build, train and apply fully connected deep neural networks. Practice in Tensorflow. Laboratory instruction. Prerequisites: CSCI 5833

Prerequisites: CSCI 5833 .