Presented by
-
Systems and Applications Engineer, NXP Semiconductors
NXPリファレンスデザイン・ライブラリ
お客様の素早い設計とより早い製品化を実現する、技術情報と専門知識をご紹介します。
Sign in to access this content and additional site features.
About This Training
This lab will cover how to take an existing TensorFlow image classification model (named Mobilenet) and retrain it to categorize images of flowers. The updated model will then be converted into a TensorFlow Lite file, which can then be used with the TensorFlow Lite inference engine that is part of NXP’s eIQ machine learning software development kit, and ultimately run on i.MX RT crossover MCUs. A camera attached to the board can then be used to look at photographs of flowers, and the model will determine what type of flowers the camera is looking at. These same steps can be used for classifying other types of images as well.
Have a question? Ask the community.
Ask our eIQ machine learning software community and get expert advice.
Stay In the Loop
Subscribe to our newsletter to stay updated with our latest developments and if you need further assistance, we are here to help.
Subscribe Contact Support