AWS re:Invent 2018 — AIM401R — Deep Learning Applications Using TensorFlow

Here are the video and slides for my TensorFlow / SageMaker breakout at re:Invent. This is a technical deep dive, featuring a long Keras demo (custom container, hyper parameter optimization, etc.).

Please also checkout this repeat session, featuring a fantastic use case by Advanced Migrogrid Solutions.

Happy to answer questions. Follow me on Twitter for more content.

Video

Slides


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.