Pete Warden — Practical Applications of TinyML

Gradient Dissent: Conversations on AI

Lukas Biewald에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 Lukas Biewald 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.

2+ y ago 53:28

MP3•에피소드 홈

Pete is the Technical Lead of the TensorFlow Micro team, which works on deep learning for mobile and embedded devices.

Lukas and Pete talk about hacking a Raspberry Pi to run AlexNet, the power and size constraints of embedded devices, and techniques to reduce model size. Pete also explains real world applications of TensorFlow Lite Micro and shares what it's been like to work on TensorFlow from the beginning.

The complete show notes (transcript and links) can be found here: http://wandb.me/gd-pete-warden

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Connect with Pete:

📍 Twitter: https://twitter.com/petewarden

📍 Website: https://petewarden.com/

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Timestamps:

0:00 Intro

1:23 Hacking a Raspberry Pi to run neural nets

13:50 Model and hardware architectures

18:56 Training a magic wand

21:47 Raspberry Pi vs Arduino

27:51 Reducing model size

33:29 Training on the edge

39:47 What it's like to work on TensorFlow

47:45 Improving datasets and model deployment

53:05 Outro

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105 에피소드

#Artificial Intelligence #Tech #Machine Learning #Business #Lukas Biewald