GitHub

Deep Learning Model Optimization and Tuning

A comprehensive tutorial repository for learning deep learning model optimization techniques, including network tuning, backpropagation optimization, overfitting management, and root cause analysis.
IEEE

A Hyperparameter-Free Attention Module Based on Feature Map Mathematical Calculation for Remote-Sensing Image Scene Classification

Abstract: Remote-sensing scene classification (RSSC) is crucial for remote-sensing image interpretation and has become a research hotspot in recent years. However, the high complexity of ...
IEEE

Fine Tuning Hyperparameters of Deep Learning Models Using Metaheuristic Accelerated Particle Swarm Optimization Algorithm

Abstract: In recent years, Convolutional Neural Networks (CNNs) have emerged as powerful tools for solving complex real-world problems, particularly in the domain of image processing. The success of ...
GitHub

Large Language Models for Hyperparameter Optimization

We explore the use of large language models (LLMs) in hyperparameter optimization (HPO). By prompting LLMs with dataset and model descriptions, we develop a methodology where LLMs suggest ...