Googles' Teachable Machine - No Math, No Code

Build a two-class image classifier for mask and no mask with Googles' Teachable Machine, using webcam data collection, model training, and real-time predictions.

Learn to build a no-code image classifier with google's teacheable machine to recognize indian rupee notes, using webcam samples and browser training.

Train an audio classifier to distinguish Will Smith's voice from Tommy's in Men in Black, by recording background noise, collecting samples, and completing the training to assess accuracy.

Use Google's Teachable Machine to detect bad posture by training a no-code classifier on samples of straight and tilted postures. The model helps teachers and students maintain proper sitting posture.

Learn to build yoga pose detectors with Teachable Machine by classifying mountain pose and triangle pose using sample images, webcam captures, and training to boost accuracy.

Explore how a Teachable Machine tests pose detection, achieving hundred percent accuracy on mountain pose and triangle pose, and see how to add more pauses for testing.

Deploy a teachable machine learning model with TensorFlow.js using p5.js, export to the cloud, load it in code, and run two-class video classification for me and my phone.

Explore Amalfi, a JavaScript machine learning library, and learn to create classifiers and audio classifiers with prebuilt units like Postnet for deep learning.

Explore how a teachable machine model assigns labels with confidence scores, displays results per class, and uses a threshold to decide when to label an object.

Deploy a quantized mobile net model on Android by configuring Android Studio, importing the example app, replacing the model and label files, and building to run on device.

Explore how Teachable Machine lets anyone create machine learning models without coding, train on images, audio, or poses, and deploy models to websites, apps, or devices.