Webinar: Enabling Deep Learning in IoT applications with Apache MXNet

A few months ago, I wrote a post explaining why Apache MXNet is a good choice for Deep Learning at the Edge.

Days ago, I also recorded a webinar where I discuss the different options available to developers, using services such as Apache MXNet, Deep Learning AMI, Amazon SageMaker, AWS IoT, AWS Greengrass (ML), AWS DeepLens.

Illustration for Webinar: Enabling Deep Learning in IoT applications with Apache MXNet

Here’s the agenda:

  • Deep Learning at the Edge?
  • Apache MXNet
  • Predicting in the Cloud or at the Edge?
  • AWS DeepLens
  • Getting started

Enjoy!

About the Author

Julien Simon is the Chief Evangelist at Arcee AI , specializing in Small Language Models and enterprise AI solutions. Recognized as the #1 AI Evangelist globally by AI Magazine in 2021, he brings over 30 years of technology leadership experience to his role.

With 650+ speaking engagements worldwide and 350+ technical blog posts, Julien is a leading voice in practical AI implementation, cost-effective AI solutions, and the democratization of artificial intelligence. His expertise spans open-source AI, Small Language Models, enterprise AI strategy, and edge computing optimization.

Previously serving as Principal Evangelist at AWS and Chief Evangelist at Hugging Face, Julien has authored books on Amazon SageMaker and contributed to the open-source AI ecosystem. His mission is to make AI accessible, understandable, and controllable for everyone.