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

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.

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PURL: pkg:github/alejo-gonzalez-garcia/Understanding-Calibration-in-CNNs

Topics: calibration-curve, calibration-validation, cnns, deep-learning, deep-learning-algorithms, neural-network

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