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A comparative study of the benefits of transfer learning over building a custom CNN architecture for a very small dataset.

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Name		Name	Last commit message	Last commit date
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models		models
.DS_Store		.DS_Store
LICENSE		LICENSE
README.md		README.md
flower102_vision.ipynb		flower102_vision.ipynb
flower_vision.ipynb		flower_vision.ipynb
helper_functions.py		helper_functions.py
requirements.txt		requirements.txt

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scratch-or-fineune

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A comparative study of the benefits of transfer learning over building a custom CNN architecture for a very small dataset.

computer-vision cnn classification research-project transfer-learning research-paper computervision cnn-model oxford102 flower-classification small-basic cnn-classification pytorch-cnn pytorch-implementation oxford-flower-dataset custommodels

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