Harpreet Sahota, a data science expert and deep learning developer at Deci AI, joins Jon Krohn to explore the fascinating realm of object detection and the revolutionary YOLO-NAS model architecture. Discover how machine vision models have evolved and the techniques driving compute-efficient edge device applications.
This episode is brought to you by AWS Inferentia (https://go.aws/3zWS0au), by https://WithFeeling.ai, the company bringing humanity into AI, and by Modelbit (https://modelbit.com), for deploying models in seconds. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.
In this episode you will learn:
• What is machine vision? [07:02]
• Object detection and YOLO architectures [13:00]
• Deci's YOLO-NAS: Optimal object detection model architecture [23:39]
• Developer Relations [1:00:16]
• Harpreet's 'top-down' approach to learning Deep Learning [1:06:50]
Additional materials: www.superdatascience.com/693
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