IAR for Amazon FreeRTOS Released: A New Era for IoT Studios

IAR for Amazon FreeRTOS Released: A New Era for IoT Studios

Description: 1. In recent years, IoT Studios have become popular, such as Mbed Studio, Zerynth Studio, DK IoT Studio, etc. 2. Amazon is not falling behind and has directly partnered with IAR to release a new version, IAR for AWS. This provides a comprehensive service for Amazon cloud development. 3. Currently, there is no download … Read more

Choosing the Right Open Source RTOS for You

Choosing the Right Open Source RTOS for You

Open source RTOS, for those who have difficulty making choices, I hope this helps you; IAR project conversion, a nice feature for friends who are fond of IAR; Keil themes, many people are not optimistic about Keil’s themes, or it might solve your problem; VS Code, an editor suitable for the vast majority of programmers. … Read more

Summary of Multi-task Learning Methods

Summary of Multi-task Learning Methods

Follow the WeChat public account “ML_NLP“ and set it as a “starred“, delivering substantial content to you in real-time! This article is authorized to be transferred from the Zhihu author Anticoder, https://zhuanlan.zhihu.com/p/59413549. Unauthorized reproduction is prohibited. Background: Focusing solely on a single model may overlook potential information that could enhance the target task from related … Read more

Performance Evaluation of DSP Library: Trigonometric Function Performance in MDK5 AC5, AC6, IAR, and Embedded Studio

Performance Evaluation of DSP Library: Trigonometric Function Performance in MDK5 AC5, AC6, IAR, and Embedded Studio

Description: Previously, I posted a test thread, and today I am continuing this series:[Test Thread] Comparing the Performance of IAR, MDK’s AC5 and AC6, and Embedded Studio’s CLANG and GCC Compiled HAL Libraries Test Conditions: 1. IAR 8.30 with maximum speed optimization level. 2. MDK 5.27 official version using AC5 with maximum optimization level 3, … Read more

Overview of Multi-task Learning

Overview of Multi-task Learning

Author: Anticoder Column: Optimazer’s Garden https://zhuanlan.zhihu.com/p/59413549 Background: Focusing solely on a single model may overlook potential information that could enhance the target task from related tasks. By sharing parameters to some extent between different tasks, the original task may generalize better. Broadly speaking, as long as there are multiple losses, it counts as MTL, with … Read more