This course is designed to provide the students with an introduction to the fundamental concepts and techniques underlying the construction of deep learning techniques. It gives an overview of underlying ideas, such as convolutional, recurrent, and other neural network architectures for deep learning. It develops a deep understanding of theoretical foundations along with the practical implementation of various deep learning architecture.
Was this page useful?
0% of 0 users found this useful
Please tell us why(you can select multiple options)
