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PyTorch Essentials: An Applications-First Approach (LFD273) Course Overview

PyTorch Essentials: An Applications-First Approach (LFD273) Course Overview

The course begins with an overview of PyTorch, including model classes, datasets, data loaders and the training loop. Next, it covers the role and power of transfer learning, along with how to use it with pretrained models. Practical lab exercises cover multiple topics including: image classification, object detection, sentiment analysis, text classification, and text generation/completion. Learners also will use their data to fine-tune existing models and leverage third-party APIs.

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Course Level Beginner

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