Categories: tensorflow

  • Quantization of LSTM layers - a Technical White Paper

    Quantization of LSTM layers - a Technical White Paper

    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 tinyML platform supports quantization of LSTM and other TensorFlow layers

    Imagimob tinyML platform supports quantization of LSTM and other TensorFlow layers

    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.

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