National Institute of Technology, Kurukshetra

Prerequisites:
No prerequisites for this course

Course Nature: OE

Objectives:

To cover the fundamentals of neural networks as well as some advanced topics such as recurrent neural networks, long short-term memory cells and convolutional neural networks.

To cover the basic applications of deep learning.

Similar Courses:

Content

Outcomes

Fundamental Understanding of Neural network.
Basic and Advance concept of Deep Learning.
Application of Deep Learning.

Reference Books

Ian J. Goodfellow, Bengio Yoshua, and Aaron Courville. "Deep Learning." An MIT Press book in preparation, 2016.
Charu C. Aggarwal "Neural Networks and Deep Learning: A Textbook" Springer Nature, 2018.
Seth Weidman "Deep Learning from Scratch: Building with Python from First Principles" O'REILLY, 2019
Aston Zhang, Zachary C. Lipton, Mu Li, and Alexander J. Smola "Dive into Deep Learning: Tools for Engagement" CORWIN, 2019

CSOE405 Deep Learning

Prerequisites:No prerequisites for this course

Course Nature: OE

Objectives:

Similar Courses:

Introduction to Deep Learning

Feedforward Networks

Advanced Optimization and Neural Network Architectures

Convolutional Neural Networks and Generative Models

Recent Trends and Applications

Fundamental Understanding of Neural network.

Basic and Advance concept of Deep Learning.

Application of Deep Learning.

Prerequisites:
No prerequisites for this course