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finetuning

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This repository presents a gemstone classification project employing Transfer Learning with MobileNetV2, processing a dataset comprising 3200+ images spanning 87 classes. TensorFlow and Keras facilitated data preprocessing, augmentation, and model training. Through fine-tuning and leveraging pre-trained features.

  • Updated Feb 2, 2024
  • Jupyter Notebook

Explore the rich flavors of Indian desserts with TunedLlavaDelights. Utilizing the in Llava fine-tuning, our project unveils detailed nutritional profiles, taste notes, and optimal consumption times for beloved sweets. Dive into a fusion of AI innovation and culinary tradition

  • Updated Mar 17, 2024
  • Python

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