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
Build toward a degree
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
- Deep Learning
- Network Model
- Convolutional Neural Networks
- Artificial Neural Networks
- Probability Distribution
- Applied Machine Learning
- Model Training
- Machine Learning Algorithms
- Network Architecture
- Machine Learning
- Model Optimization
- Bayesian Network
- Algorithms
- Model Evaluation
- Machine Learning Methods
- Bayesian Statistics
Tools you'll learn
Details to know
Shareable certificate
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Recently updated!
November 2025
Assessments
25 assignments
Taught in English
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Build your subject-matter expertise
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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- Gain a foundational understanding of a subject or tool
- Develop job-relevant skills with hands-on projects
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There are 7 modules in this course
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Build toward a degree
This course is part of the following degree program(s) offered by Dartmouth College. If you are admitted and enroll, your completed coursework may count toward your degree learning and your progress can transfer with you.¹
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