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Development Technology

Building a machine learning app | 10 hour coding livestream



Time to celebrate 100k subscribers! And what better way to do it than with a coding livestream?

Tune in for 10 hours straight (give or take a bit for dancing breaks/food etc).

Get the code – https://github.com/mrdbourke/food-not-food
Try the app – https://www.foodnotfood.app

Get the free stuff/surprises here – https://www.mrdbourke.com/100k-subs/

Links:
Learn ML (beginner-friendly courses I teach) – https://www.mrdbourke.com/ml-courses/
ML courses/books I recommend – https://www.mrdbourke.com/ml-resources/
Read my novel Charlie Walks – https://www.charliewalks.com

Connect elsewhere:
Web – https://dbourke.link/web
Twitter – https://www.twitter.com/mrdbourke
Twitch – https://www.twitch.tv/mrdbourke
ArXiv channel (past streams) – https://dbourke.link/archive-channel
Get email updates on my work – https://dbourke.link/newsletter

Timestamps:
0:00 – Intro & hello
3:53 – Stream rules (10 pushups, squats, kicks, punches every hour)
5:00 – What we’re going to build (food not food app)
10:58 – First commit
21:52 – Collecting a dataset (food and not food images)
2:20:30 – Food break
2:33:59 – Back to coding
3:36:09 – Downloading images
3:55:25 – Small model building
4:47:59 – Making train and test datasets
4:56:18 – Building binary classification model
5:29:54 – First model training
5:54:34 – Filtering food and non-food images from ImageNet
7:52:39 – Machine learning model deployment with TensorFlow Lite and TensorFlow JS
9:16:44 – Testing predictions with TensorFlow Lite model
9:40:39 – First prediction working on deployed model!!!
10:04:50 – Model deployed and live to the internet!!!

source

Author

MQ

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