Content you can use in practice! You can learn how to create a facial recognition system using open source.
"Edge AI Engineer Education" is an educational service that allows you to learn a series of processes from the fundamental knowledge required to realize Edge AI, to preparing the learning environment for model creation, model training, and validation/evaluation. Through three steps of text learning, practical exercises, and comprehension tests, you can confirm the retention of the knowledge learned and your understanding. Since the content is created by active engineers, it is practical and applicable. [Features] ■ Content based on our Edge AI product technology ■ Ability to confirm retention of knowledge and understanding through three steps ■ Ability to understand the learned knowledge through actual programming ■ Learn techniques to improve performance and accuracy in CPU inference for Edge AI ■ Does not use USB accelerators *For more details, please refer to the PDF materials or feel free to contact us.
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【Learning Content】 ■Basic Knowledge of Edge AI ・Explanation of basic knowledge in AI deep learning and the strengths of deep learning in edge AI. ■Model Creation Framework and Learning Environment ・Explanation of the learning environment for models using the main frameworks commonly used in edge AI. ■Model Learning, Verification, and Evaluation ・Explanation of how to utilize OSS models in edge AI and techniques related to hyperparameters during training. ■Model Tuning ・Explanation of acceleration methods and techniques for improving accuracy to solve various challenges in edge AI. *For more details, please refer to the PDF materials or feel free to contact us.
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Our company provides services based on three pillars: "IT Solutions," which supports work style reform and product development technology; "Software Development," which handles enterprise system development and e-commerce sites; and "Electronic Circuit Design," which focuses on the development of electronic circuit boards and IC/LSI. In the future, we will strengthen technologies for IoT, AI, robotics, and big data based on the strengths we have built up so far, establishing them as our new core technologies to meet our customers' expectations.