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This freeCodeCamp course teaches PyTorch syntax through five hands-on exercises, each on a different kind of data. It starts with tabular data classification, moves to image classification with both custom and pre-trained models, then covers audio classification and text classification using BERT.
Learners who already know some Python and want a broad, practical tour of PyTorch across data types will get the most out of it. The GitHub repository linked in the description holds the code, so you can work along as you watch.
Learn PyTorch and PyTorch Syntax from @OmarMAtef. This course walks through five hands-on exercises designed to help you understand and apply PyTorch syntax in real-world tasks. It starts with tabular data classification, then moves on to image classification using both custom and pre-trained models. You'll also explore audio classification and text classification using BERT, giving you a well-rounded introduction to PyTorch’s capabilities.
GitHub Link: https://github.com/omaratef3221/pytorch_tutorials
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⭐️ Contents ⭐️
0:00:00 Tabular Data Classification
1:31:13 Image Classification
2:47:49 Pre-trained Models - Image Classification
3:38:31 Audio Classification
4:52:31 Text Classification
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