We’ve partnered with instructor @ShawnHymel, @Arduino, @Arm, and the tinyML Foundation to launch the first embedded machine learning course on @Coursera!
Freely accessible to all with an optional professional certificate available. Sign up today: https://t.co/ltfCbjNHsD
Thanks to @p5xjs for intuitive software and lab tutorials. Got this project up and running in just a few hours including downloading time. Brainstorming 🤓 an implementation 🤖 prototype with multiple sensors and or development boards. @TinyMLClub
"TinyML is a giant opportunity that’s just beginning to emerge. Expect to see quite a bit of movement in this space over the next year or two." https://t.co/aTtdSGzHbD
People are starting to realise how huge this opportunity is - “TinyML is a giant opportunity that’s just beginning to emerge. Expect to see quite a bit of movement in this space over the next year or two.”@VentureBeat
Watch this space! 🤓 https://t.co/2f5NvgJGgL
I'm experimenting with recording informal screencasts for all the tutorials in our upcoming embedded ML book, and have a first attempt here: https://t.co/9vjch7G2iu
I'd love feedback from my twitter friends before publication!
This is THE book to get if you want to start working with TinyML. I have been reading the preview version and it great! It gives you enough information to start building things and doesn’t get hung up on academic nuances.
The @sparkfun Edge 2 running the Micro Speech example from @TensorFlow. I put a short write up on how to do it here: https://t.co/FGJ7lVk2KJ
I ( @LukeBerndt ) will be at the ARM AIOT conf next week in anyone wants to hack with me on this and get it all merged in. #tinyml
The @Arm AIOT conference next week will have lots of great content on ML for embedded, let's meet there and talk about making TInyML happen at scale! @dansitu@rexstjohn@EdgeImpulse
https://t.co/eANwEVeCr8
Come meet us next week at the TinyML Meetup at the Computer History Museum - great talks on optimizing NNs for Cortex-M! https://t.co/atlaAX1Oqc @dansitu@janjongboom@petewarden@zach_shelby
Train a gesture classification model and deploy it to microcontrollers at the #ArmAIoTDevSummit on-device ML workshop, featuring @petewarden and @dansitu from the @TensorFlow Lite team.
Get $75 off registration with the code AIOTGOOGLE!
Details here → https://t.co/KT4dTQTaqA