Time Series and Sequence Data Networks
You can train and deploy networks to do time series classification, regression, and forecasting tasks by using long short-term memory (LSTM) networks. An LSTM is a type of recurrent neural network (RNN) that can learn long-term dependencies between time steps of sequence data. Learn about:
Support for LSTM networks.
How Deep Learning HDL Toolbox™ compiles the LSTM layer in a network.
How to deploy LSTM networks to target FPGA and SoC boards, then use Deep Learning HDL Toolbox and MATLAB to retrieve the prediction results from the network.
Prototype and Deploy
- Support for Long Short-Term Memory Networks
Learn about Deep Learning HDL Toolbox support for long short-term memory (LSTM) networks.
- How Deep Learning HDL Toolbox Compiles the LSTM Layer
Understand how the
compilemethod interprets an LSTM layer.
- Prototype Deep Learning Networks on FPGA and SoC Devices
Accelerate the prototyping, deployment, design verification, and iteration of your custom deep learning network running on a fixed bitstream by using the