ML codelabs
Try these codelabs to learn hands-on how Firebase can help you use TensorFlowLite models more easily and effectively.
Digit classification (introduction to model deployment)
Learn how to use Firebase's model deployment features by building an app thatrecognizes handwritten digits. Deploy TensorFlow Lite models withFirebase ML, analyze model performance withPerformance Monitoring, and test modeleffectiveness withA/B Testing.
Sentiment analysis
In this codelab, you use your own training data to fine-tune an existing textclassification model that identifies the sentiment expressed in a passage oftext. Then, you deploy the model usingFirebase ML and compare the accuracyof the old and new models withA/B Testing.
Content recommendation
Recommendation engines let you personalize experiences to individual users,presenting them with more relevant and engaging content. Rather than buildingout a complex pipeline to power this feature, this codelab shows how you canimplement a content recommendation engine for an app by training and deployingan on-device ML model.
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Last updated 2025-03-04 UTC.