This white paper explains what LSTM layers are, why they are important and what the technical solution in Imagimob AI looks like. In Imagimob AI, quantization of a pretrained model is done with the click of a button in a user-friendly graphical user interface, which generates C code without any floating-point operations, ready for deployment.
Imagimob today 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.
Imagimob is a fast-growing startup driving innovation at the forefront of Edge AI and tiny machine learning (tinyML), enabling the intelligent products of the future. Based in Stockholm, Sweden, the company has been serving global customers within the automotive, manufacturing, healthcare, and lifestyle industries since 2013. In 2020, Imagimob launched their SaaS Imagimob AI for swift and easy end-to-end development of Edge AI applications for devices with constrained resources, and the newly launched off-the-shelf applications/models can be implemented quickly and easily. Imagimob AI guides and empowers users throughout the entire development journey, resulting in game-changing productivity and faster time-to-market. Tirelessly dedicated to staying on top of the latest research, Imagimob is a market leader within AI and embedded technologies.
In May 2023, Imagimob was acquired by Infineon Technologies AG.
Learn more and sign up to use Imagimob AI at imagimob.com
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