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calibration-validation

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Understanding-Calibration-in-CNNs

alejo-gonzalez-garcia / Understanding-Calibration-in-CNNs

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Explored calibration in Convolutional Neural Networks (CNNs) using the CIFAR-10 dataset, focusing on binary classification of birds and cats. The project encompasses data preprocessing, model training, and evaluation, with a deep dive into calibration techniques. Weight & Biases library for monitoring training processes and model performance.

deep-learning neural-network deep-learning-algorithms cnns calibration-curve calibration-validation
  • Updated Jun 4, 2024
  • Jupyter Notebook

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