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 --- Connect with Pete: 📍 Twitter: https://twitter.com/petewarden 📍 Website: https://petewarden.com/ --- 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 --- Subscribe and listen to our podcast today! 👉 Apple Podcasts: http://wandb.me/apple-podcasts​​ 👉 Google Podcasts: http://wandb.me/google-podcasts​ 👉 Spotify: http://wandb.me/spotify​