Implementing Neural Networks on MCUs
FREE 1 hour webinar!
Friday September 27, 2019 Register now below
PLEASE NOTE: DUE TO HIGH DEMAND ON THIS EVENT WE WILL BROADCAST AN ADDITIONAL WEBINAR SESSION: See options below
Overview:With the topic of Deep Learning using neural networks being so hot right now, there is a question of whether it is possible to implement meaningful neural networks on microprocessors and microcontrollers. The answer is yes!
In this webinar:
We give a brief introduction to the topic of neural networks, and then demonstrate how it is possible to implement a small-scale neural network on a microcontroller using Keras, the popular high-level Python API for deep learning. The STM32CubeMX.AI software development tool for STM32 microcontrollers is used as a demonstration.
You will learn about:
- How to train neural networks using Keras
- How to run neural networks on edge devices
- How to optimize a neural network for execution on a target microcontroller
Doulos Co-Founder and Technical Fellow, John Aynsley, will be presenting this training webinar, which will consist of a one-hour session (see below for details) and be interactive with Q&A participation from attendees.
Attendance is free of charge. Register Now.
This webinar will be broadcast twice, at convenient times for international audiences. Please review the times listed below and register for the most appropriate option for your time zone.
Schedule and Registration:
For Europe and Asia:
- Friday September 27, 2019
Time: 10-11am (BST) 11am-12pm (CEST) 2.30-3.30pm (IST)
NOW FULL - PLEASE REGISTER FOR ANOTHER SESSION
Extra session for Europe and Asia:
For Americas: firstname.lastname@example.org
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