the-full-stack/fsdl-text-recognizer-project resource

Health v2 · maintenance only

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Adoption not part of the score

1224 stars · 421 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

Lab materials for the Full Stack Deep Learning course, building a handwriting recognition system from scratch and deploying it as a web service. The project walks through training deep learning models with Keras, experiment tracking, CI, and deployment to AWS Lambda.

Use cases

• learn full stack deep learning
• build a handwriting recognition model
• learn mlops deployment practices
• deploy a keras model to aws lambda
• set up continuous integration for ml code
• track ml experiments with weights and biases

When to choose

• following the Full Stack Deep Learning course labs
• learning end-to-end ML project workflow from training to deployment
• studying a modular handwriting recognition example

When to avoid

• needing a production-ready OCR system
• requiring an actively maintained or supported project
• wanting a licensed reusable codebase

Facets

learning-resource · maturity maintenance

machine-learning deep-learning testing deployment monitoring deep-learning machine-learning computer-vision education python cloud handwriting-recognition keras aws-lambda weights-and-biases course-labs ocr mlops jupyter-notebook devops docker web-server

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markdown · JSON · MCP: product_card(name="the-full-stack/fsdl-text-recognizer-project")