Executive Education Programmes designed to build capabilities in infocomm and digital business.
Course Planner 2019
Courses with PDUs
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We offer five practice-based graduate programmes focusing on information technology (IT) and data science.
Your alternative pathway to continuing education without disrupting your career.
Clusters of expertise focusing on building leadership, best practice, and capability development in areas of Digital Government and Smart Health.
Meet the NUS-ISS Team and learn about our story and achievements.
With millions sold, the Raspberry Pi is one of the most popular single-board computers for IoT applications. Its key strengths are affordability, availability of hardware and broad community support.
Developed by Facebook, PyTorch is an open source machine learning library in Python that is growing in popularity with the deep learning community due to its flexibility, ease of programming and strong GPU support compared to other machine learning libraries.
Running Deep Learning models locally on the Raspberry Pi can enable IoT scenarios such as predictive maintenance, robotics, and supply chain monitoring to run without cloud connectivity.
In this one-day workshop, you will learn how to train a deep learning recurrent neural network (RNN) using PyTorch and deploy the trained model on a Raspberry Pi. The model will be used to predict equipment failure from IoT sensor data. By the end of the workshop, you will have a Raspberry Pi 3 with source code and a working RNN model to take home for your own projects.
If you have been thinking about transitioning to a tech-related career, let us help you get started. For more on NUS-ISS StackUp's course offerings and tracks, click here.
Notebook running either Windows, Mac or Linux (Ubuntu preferred). NVidia GPU is not required.
Note: you cannot use iPad or Android tablets
Due to time limitation, it is important that you perform the following installation on your notebook before coming to the workshop