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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, by WithFeeling.ai, the company bringing humanity into AI, and by Modelbit, 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
By Jon Krohn4.6
295295 ratings
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, by WithFeeling.ai, the company bringing humanity into AI, and by Modelbit, 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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