Machine Learning with Neural Networks
By Coursera
on Coursera
· Technology
About This Course
This course explores the principles of machine learning through the lens of one of its most powerful and versatile model classes: the artificial neural network. We will cover the fundamental machine learning concepts of modeling, training, and generalization. You will learn how to process the input data with feed-forward operations, how to train a neural network model using gradient-based optimization and the backpropagation algorithm, and how to ensure it performs well on new data using regularization. In the final module, we discuss Bayesian neural networks, learning how to build models that not only make predictions but also quantify their own uncertainty.
Instructor
Peter Chin
Frequently Asked Questions
How much does Machine Learning with Neural Networks cost?
Visit the Machine Learning with Neural Networks course page for current pricing and available discounts.
Who teaches Machine Learning with Neural Networks?
Machine Learning with Neural Networks is taught by Peter Chin, Dartmouth College.
What skill level is Machine Learning with Neural Networks for?
This course is designed for all levels learners.