This repository contains the results for the paper: "Descending through a Crowded Valley - Benchmarking Deep Learning Optimizers"
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Updated
Jul 17, 2021
This repository contains the results for the paper: "Descending through a Crowded Valley - Benchmarking Deep Learning Optimizers"
Advanced Mathematical Optimization & Deep Learning Optimizers from scratch. Covers KKT duality, L-BFGS, proximal methods (ADMM, FISTA), stochastic algorithms (SVRG, Lion), and cutting-edge deep learning optimizers like K-FAC, Shampoo, Sophia, SAM, and Muon. Bridging strict convex calculus with large-scale Transformer training.
Semester project on the impact of label noise on deep learning optimization
Guava Disease Classification using DenseNet-Reloaded and ADOPT optimizer. Achieves 99.73% accuracy in Anthracnose, Fruit Fly, and Healthy Guava detection.
Toy implementations of popular deep learning optimizers from scratch in JAX
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