Multilayer Perceptron - Back Propagation in Neural Networks
Offered By: Great Learning via YouTube
Course Description
Overview
This tutorial on "Multi-Layer Perceptron" will help you to master all the core concepts of multi layer perceptrons and deep neural networks. The perceptron is the basic unit powering what is today known as deep learning. So, a multilayer perceptron (MLP) is a perceptron that teams up with additional perceptrons, stacked in several layers, to solve complex problems.
Syllabus
- Limitations of Machine Learning.
- Introduction to Neural Networks.
- Applications of Neural Networks.
- How do Neural Networks work?.
- Activation Functions in Neural Networks.
- Back-Propagation and Stochastic Gradient Descent.
- Demo on Neural Networks.
Taught by
Great Learning
Related Courses
Building Classification Models with scikit-learnPluralsight Practical Deep Learning for Coders - Full Course
freeCodeCamp Neural Networks Made Easy
Udemy Intro to Deep Learning
Kaggle Stochastic Gradient Descent
Great Learning via YouTube