Back to PyTorch: Fundamentals
Learner Reviews & Feedback for PyTorch: Fundamentals by DeepLearning.AI
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.
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1 - 2 of 2 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 Ghee C F
•Nov 24, 2025
Cover the fundamental in intuitive way, and reinforced it through jupyter notebook.