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

Lab materials for the Full Stack Deep Learning Course

Repository: https://github.com/the-full-stack/fsdl-text-recognizer-project
Canonical: https://ross.abutalabs.com/products/fsdl-text-recognizer-project
Homepage: https://fullstackdeeplearning.com/course
Language: Jupyter Notebook
License Family: other
Topics: deep-learning
Last push: 2022-06-14T04:25:32+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 2746, "days_push": 1541, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1224, forks 421 (observed 2026-08-28T04:04:02.770059+00:00)

## What it is
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
- artifact type: learning-resource
- maturity: maintenance
- function: machine-learning, deep-learning, testing, deployment, monitoring
- domain: deep-learning, machine-learning, computer-vision, education
- platform: python, cloud
- tags: handwriting-recognition, keras, aws-lambda, weights-and-biases, course-labs, ocr, mlops, jupyter-notebook, devops, docker, web-server

## Member repositories
- the-full-stack/fsdl-text-recognizer-project (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:02.770059+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T06:15:29.687891+00:00, confidence not recorded.
  - readme: https://github.com/the-full-stack/fsdl-text-recognizer-project (fetched 2026-08-28T04:04:02.770059+00:00, sha 3abed84468b0)
  - homepage: https://fullstackdeeplearning.com/course (fetched 2026-08-29T12:23:52.033851+00:00, sha a71b75246f45)
- Data as of 2026-08-30T08:39:29.467469+00:00.