Overview
This course on Multilayer Perceptron in Neural Networks aims to teach learners how to model complex patterns in data using artificial neural networks. The course covers the basics of neural networks, the significance of using them, and their applications. By the end of the course, students will be able to understand the structure of a multi-layer perceptron, its components, and how it processes data to produce desired outputs. The teaching method includes theoretical explanations and a practical demonstration. This course is suitable for individuals interested in machine learning, artificial intelligence, and neural networks.
Syllabus
Introduction to Neural Network
Why use Neural Networks?
Where do we use Neural Networks?
Multilayer Perceptron
Practical Demonstraion
Taught by
Great Learning