Lesson Description
In this course, you will learn about the concepts of Artificial Neural Networks (ANNs), specifically advanced topics on ANN models, understand how to build different types of neural networks, and learn how to lead successful machine learning projects. This course introduces you to ANNs: the bio-inspired models to building artificial intelligence algorithms. ANNs and Deep learning models are the machine learning techniques behind the most exciting capabilities in diverse areas like natural language processing, image recognition, speech recognition, robotics, etc. In this course, we cover the basic components of ANNs, what it means, how it works, and develop code necessary to build various algorithms such as MLPs, SVMs, recurrent neural networks, and also deep convolutional networks.
Weekly Schedule
Mondays 8-10, Location: Learning Management System (LMS)