Time Series Classification and Forecasting Applications

Generate code for deep learning networks that perform time series classification and forecasting

Generate code for time series classification and forecasting applications and deploy on embedded targets.

Featured Examples

Generate code for a pretrained long short-term memory network to predict Remaining Useful Life (RUI) of a machine.

Generate generic C code for a pretrained LSTM network that makes predictions for each step of an input timeseries.

Generate a MEX function for a deep learning network containing both convolutional and BiLSTM layers that classifies videos

Generate C/C++ code for a trained CNN that does not depend on third-party libraries.

Generate a Processor-In-the-Loop (PIL) executable that runs on an STM32F746G-Discovery board.

Generate code for LSTM network with learnables compression.