Pete Warden — Practical Applications of TinyML Gradient Dissent: Conversations on AI

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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