Transfer Learning: Leveraging Pre-Trained Models for Image Classification
Автор: Priyam Mazumdar
Загружено: 2024-09-26
Просмотров: 865
Link to Jupyter Notebook: https://github.com/priyammaz/PyTorch-...
Github Repo: https://github.com/priyammaz/PyTorch-...
Transfer Learning is probably the coolest capability of Neural Networks that make them so flexible. Today we will be training the AlexNet model on a Dogs vs Cats dataset. We will be treating AlexNet as a black-box model, so don't worry about the inner workings. If you take away anything from this Intro to PyTorch series, I want it to be understanding Fine-Tuning a Pre-Trained model, as that is the most common and accessible usecase of Neural Networks!
Timestamps:
00:00:00 Introduction
00:00:25 What is Transfer Learning?
00:19:24 Preparing Dataloader for Training
00:26:16 Loading the AlexNet Model
00:34:50 Training a Randomly Initialized AlexNet
00:56:40 Training a Pre-Trained AlexNet
01:00:30 Freeze Feature Extractor
01:07:25 Conclusion
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