Chevron Left
Back to PyTorch: Fundamentals

Learner Reviews & Feedback for PyTorch: Fundamentals by DeepLearning.AI

4.9
stars
31 ratings

About the Course

This course introduces you to the core principles of deep learning through hands-on coding in PyTorch. You’ll start by learning how PyTorch represents data with tensors and how datasets and data loaders fit into the training process. Step by step, you’ll build and train neural networks, experiment with different architectures, and explore how models learn from examples. You’ll also learn how to monitor training progress, interpret results, and evaluate performance. By the end of the course, you’ll understand PyTorch’s workflow and be ready to design, train, and test your own neural networks with confidence....

Top reviews

GF

Nov 23, 2025

Cover the fundamental in intuitive way, and reinforced it through jupyter notebook.

KK

Nov 23, 2025

Used the course as a refresher. Nicely paced, along with good intuitive explanations of various tricks (batch norm, maxpooling, etc).

Filter by:

1 - 5 of 5 Reviews for PyTorch: Fundamentals

By kiran k

•

Nov 23, 2025

Used the course as a refresher. Nicely paced, along with good intuitive explanations of various tricks (batch norm, maxpooling, etc).

By Benjamin M

•

Nov 26, 2025

Very well explained fundamentals on PyTorch and Machine Learning. Much better than any other course I've done on the same subjects.

By Ghee C F

•

Nov 24, 2025

Cover the fundamental in intuitive way, and reinforced it through jupyter notebook.

By Michael W

•

Dec 18, 2025

Really well explained, and clear. Good labs and assignments.

By dgf

•

Nov 28, 2025

bad