Hyperbolic Learning Rate Scheduler
deep-learning image-classification time-series-forecasting operator-learning learning-rate-scheduler
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Updated
Dec 2, 2024 - Python
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learning-rate-scheduler
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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
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Dec 11, 2023 - Python
PyTorch implementation of the generalized Newton's method for learning rate selection
machine-learning pytorch artificial-intelligence neural-networks learning-rate newtons-method learning-rate-scheduling learning-rate-scheduler
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Updated
Jan 25, 2025 - Python
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