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learning-rate-scheduler

Here are 2 public repositories matching this topic...

Yonas650 / Image-classification-VGG16

This project modifies the classic VGG16 architecture to classify images into four distinct categories with high accuracy. It incorporates data augmentation, dynamic learning rate adjustments, and comprehensive performance evaluation using accuracy metrics and confusion matrices. Built with PyTorch and supported by a suite of powerful libraries

python machine-learning deep-learning numpy scikit-learn pil pytorch seaborn image-classification matplotlib vgg16 data-augmentation torchvision accuracy-evaluation learning-rate-scheduler

Updated Dec 11, 2023
Python

Axect / HyperbolicLR

Hyperbolic Learning Rate Scheduler

deep-learning image-classification time-series-forecasting operator-learning learning-rate-scheduler

Updated Sep 1, 2024
Python

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