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.
Machine Learning with Neural Networks
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Machine Learning with Neural Networks
This course is part of Practical Machine Learning: Foundations to Neural Networks Specialization
Instructor: Peter Chin
Included with
Gain insight into a topic and learn the fundamentals.
Intermediate level
Recommended experience
4 weeks to complete
at 10 hours a week
Flexible schedule
Learn at your own pace
What you'll learn
How to build and train neural networks with backpropagation and regularization, and model predictive uncertainty using Bayesian neural networks.
Skills you'll gain
Details to know
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Recently updated!
November 2025
Assessments
25 assignments
Taught in English
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This course is part of the Practical Machine Learning: Foundations to Neural Networks Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
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There are 7 modules in this course
What's included
1 video1 reading
What's included
4 videos1 reading4 assignments
What's included
5 videos2 readings6 assignments3 ungraded labs
What's included
6 videos2 readings7 assignments2 ungraded labs
What's included
5 videos2 readings6 assignments2 ungraded labs
What's included
1 reading1 assignment3 ungraded labs
What's included
1 reading1 assignment
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Dartmouth College
Dartmouth College
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To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
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