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image-classifcation

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jpsmalls / Cifar10-transfer-learning

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This project demonstrates image classification on the CIFAR-10 dataset using transfer learning with the pre-trained VGG16 model. The implementation is done in Google Colab and includes data preprocessing, model adaptation, training, evaluation, and result visualization using TensorFlow and Keras.

convolutional-neural-networks transfer-learning nueral-networks cifar-10 google-colab image-classifcation
  • Updated May 19, 2024
  • Jupyter Notebook

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