Happy Mid-Autumn Festival and National Day to all my fellow bloggers and tech enthusiasts! As the sweet aroma of mooncakes wafts through the lines of code, and the “China Red” reflects on our IDE interfaces, this extended holiday takes on a dual significance. It is a warm moment to gather with family and admire the … Read more
A crucial aspect of automotive development—revealing the secrets of calibration! What is Automotive Calibration Technology? Engineers set and adjust thousands of parameters in the vehicle’s ECU through a series of experiments, tests, and data optimization to ensure that all systems of the vehicle achieve optimal performance, efficiency, environmental friendliness, and comfort. The different calibration styles … Read more
Python Implementation of Support Vector Machine (SVM) Model for Precipitation Prediction at Meteorological Stations Based on Random Search Parameter Optimization Author: Xu Haoyuan, Eighth Galaxy Email: [email protected] Data Description The data used in this article is the precipitation data from a meteorological station over the past 3 hours. It is not completely real data and … Read more
📢 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 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