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imagimob

tinyML platform supports deep learning anomaly detection

February 28, 2022 By Redding Traiger

Imagimob announced that its new release of the tinyML platform Imagimob AI supports end-to-end development of deep learning anomaly detection. A big strength of deep learning anomaly detection is that it delivers high performance as well as eliminates the need for feature engineering, thus saving costs and reducing time-to-market. Not only is deep learning anomaly […]

Filed Under: Applications, Artificial intelligence, Microcontroller Tips Tagged With: imagimob

Machine learning platform supports long short-term memory quantization

December 14, 2021 By Redding Traiger

Imagimob announced that its tinyML platform Imagimob AI supports quantization of so-called Long Short-Term Memory (LSTM) layers and a number of other Tensorflow layers. LSTM layers are well-suited to classify, process, and make predictions based on time series data, and are therefore of great value when building tinyML applications. The Imagimob AI software with quantization […]

Filed Under: Applications, Artificial intelligence, Machine Learning, Microcontroller Tips Tagged With: imagimob

tinyML-based machine learning platform helps build AI models in minutes

October 27, 2021 By Redding Traiger

Imagimob announced that the new release of its tinyML platform is now available to its customers. The new release focuses on making it easier and faster for developers to build and deploy performance-ready tinyML applications on edge devices. New features include: Starter projects save time for developers. They increase the quality of the AI application […]

Filed Under: Applications, Artificial intelligence, Machine Learning, Microcontroller Tips Tagged With: imagimob

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