10-Monkey-Species-Classification-Transfer-Learning

Multi-class classification of 10 species of monkeys using Transfer Learning

Fine-tuned pretrained ResNet50 to classify images of monkeys belonging to 10 different classes.

Data is organized in folders 'train' and 'validation', each containing a folder with images of each class.

Created a test folder with a few images of monkeys chosen randomly either from the dataset or from the web.

Name		Name	Last commit message	Last commit date
Latest commit History 12 Commits
10-Monkeys-ResNet-SGD-nestrov.ipynb		10-Monkeys-ResNet-SGD-nestrov.ipynb
10-Monkeys-ResNet-SGD.ipynb		10-Monkeys-ResNet-SGD.ipynb
10-Monkeys-ResNet-adam.ipynb		10-Monkeys-ResNet-adam.ipynb
10-Monkeys-ResNet-feature-extractor.ipynb		10-Monkeys-ResNet-feature-extractor.ipynb
FDL_colab_github_demo_rutuja.ipynb		FDL_colab_github_demo_rutuja.ipynb
README.md		README.md
feature-vectors-labels.csv		feature-vectors-labels.csv
monkey_labels.txt		monkey_labels.txt

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