Hyperparameter Tuning

YOLO v8.3.107 Released! Rockchip RKNN Fixes, OpenVINO Compatibility Upgrades, Enhancing Developer Efficiency!

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YOLO v8.3.107 Released! Rockchip RKNN Fixes, OpenVINO Compatibility Upgrades, Enhancing Developer Efficiency!

📢 Core Update Interpretation 1. Rockchip RKNN Compatibility Fix• Issue Resolved：Fixed the <span>torch_to_mnn</span> file path handling issue, ensuring the stability of model export for Rockchip chips.• User Benefits：RKNN developers will no longer face model deployment failures due to path errors, making deployment on edge devices smoother! 2. OpenVINO and macOS Compatibility Optimization• Version Lock：Limited OpenVINO … Read more

Hyperparameter Tuning Using Bayesian Optimization in MATLAB

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Hyperparameter Tuning Using Bayesian Optimization in MATLAB

“Hyperparameter optimization is a key step in the development of deep reinforcement learning algorithms, aimed at improving performance by adjusting the algorithm’s hyperparameters. Currently, there are various hyperparameter optimization methods, among which Bayesian optimization is widely used due to its efficiency and intelligent search mechanism. Therefore, this article mainly studies hyperparameter optimization methods based on … Read more