Train a model with a custom training script
Find or write a training script, test it locally, upload it to the registry, and run it on a dataset to train an ML model.
Find or write a training script, test it locally, upload it to the registry, and run it on a dataset to train an ML model.
Register a Docker Hub image with Viam so custom training jobs run in an environment with your dependencies already installed.
Use the ML training client API to manage ML training jobs taking place in Viam’s cloud app.
Give commands to your ML model service to make inferences based on a provided ML model.
Train two object detection models to read dice from a webcam, evaluate them on held-out data, and score Yahtzee rolls with the winner.
Create a robot babysitter with a webcam and machine learning.