Teachable Machine

https://teachablemachine.withgoogle.com/

73•tosh•8mo ago

Comments

woah•8mo ago

Could this be used to determine whether or not a food item is a hot dog?

eitally•8mo ago

Or differentiate between a chihuahua and a muffin?

https://www.freecodecamp.org/news/chihuahua-or-muffin-my-sea...

lxe•8mo ago

Yes

blitzar•8mo ago

Like Shazam for food

ge96•8mo ago

Curious if you did make something can you export it into some format and use it in like an RPi somehow (provided the inference power isn't crazy). I have used a Pico Voice model before for example set it up on a computer, brought it into a Pi and used it there with a mic.

Edit: I do see languages in there like NodeJS so yeah must be

"export your model" TF.js ahh yeah nice

varunneal•8mo ago

I believe this is from 2019 or 2020. Any LLM e.g. Gemini could one shot any problem here, I believe.

pzo•8mo ago

correct, youtube video shows it was uploaded 5 years ago - doubt it is relevant today even if someone don't want to use VLM for those tasks. Google dropped ball on tensorflow lite and their rebrand to LiteRT is still WIP.

Probably safer bet is to use onnxruntime or executorch if someone needs to deploy on edge devices today. At least for onnx, community is huge on hugging face and plenty of modern SOTA models already in transformers and transformers.js.

Wowfunhappy•8mo ago

It's useful for teaching kids about machine learning. Actually, IMO it's the only tool for doing so that isn't complete garbage. Everything else in the space is terrible.

ChicagoBoy11•8mo ago

I have used it for just this purpose with kids as early as fourth grade with a lot of success, actually!

Wowfunhappy•8mo ago

To be clear, Teachable Machine is great. It's everything else that is awful.

puzu•8mo ago

I use it to explain machine learning to kids. You can integrate it in a custom version of scratch: https://playground.raise.mit.edu/create/

profsummergig•8mo ago

I agree that it is a useful tool for teaching students about ML.

I'm going to use it in a course to teach a machine to recognize claps vs finger-snaps.

If you know of other simple, light tools like this that can be used to teach / demonstrate ML, please share.

Thank you.

We Mourn Our Craft

Speed up responses with fast mode

Hoot: Scheme on WebAssembly

U.S. Jobs Disappear at Fastest January Pace Since Great Recession

OpenCiv3: Open-source, cross-platform reimagining of Civilization III

Stories from 25 Years of Software Development

Al Lowe on model trains, funny deaths and working with Disney

The AI boom is causing shortages everywhere else

The Waymo World Model

Reinforcement Learning from Human Feedback

Start all of your commands with a comma (2009)

Vocal Guide – belt sing without killing yourself

France's homegrown open source online office suite

Coding agents have replaced every framework I used

Selection Rather Than Prediction

A Fresh Look at IBM 3270 Information Display System

72M Points of Interest

Unseen Footage of Atari Battlezone Arcade Cabinet Production

Where did all the starships go?

Software factories and the agentic moment

Show HN: Look Ma, No Linux: Shell, App Installer, Vi, Cc on ESP32-S3 / BreezyBox

Learning from context is harder than we thought

Monty: A minimal, secure Python interpreter written in Rust for use by AI

Making geo joins faster with H3 indexes

Show HN: Kappal – CLI to Run Docker Compose YML on Kubernetes for Local Dev

Hackers (1995) Animated Experience

Ga68, a GNU Algol 68 Compiler

Sheldon Brown's Bicycle Technical Info

An Update on Heroku

Show HN: If you lose your memory, how to regain access to your computer?