In this video, we implement OCR/image recognition using simple machine learning in Python with no imports! This was streamed live on / clumsycomputer on 2020/07/06.
Our program uses the k-nearest neighbors algorithm to classify images from the mnist and fashion-mnist datasets, meaning it takes digits (1, 2, 3, …) and garments (shoe, t-shirt, …) and guesses what they are (classifies them). It can get up to 93% accuracy on mnist. I wanted this to be a simple introduction to machine learning for those not very familiar with it.
The full code including more details is available at git.sr.ht/~vladh/clumsycomput...
Because this is a recording of a live stream, you'll hear me sometimes talking to the chat.
If you'd like to see more, please follow the clumsy computer Twitch channel at / clumsycomputer .
If you have any questions, write a comment or contact me on / clumsycomputer .
What would you like to see me code from scratch next? Let me know in the comments! :)
Wishing you a swell day,
Vlad
6 июл 2020
