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Optical Character Recognition (OCR)

Advanced astronaut Difficulty 5/5 Build project Stop 32 / 34 Python ages teen+

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AI-written overview

What is it?

Optical Character Recognition (OCR) is in our Neural Network build group, a list of tutorials about building a tiny learning program from scratch. We only know the title, short description and level from our list.

Is it for me?

It is for people who know some programming and some maths. Most items are Intermediate or Advanced, so it suits about age teen+ and up.

Grown-ups: this is a maths-heavy topic. It is fine to watch an explanation first.

How to start

  1. Pick a tutorial in a language you know.
  2. Open it with a grown-up and read the first step.
  3. Run the smallest example and see its output.

How much time?

Plan about 80 minutes at a time over about 10 sessions. (estimate)

80 min per session 10 sessions estimate

A plan you can follow

  1. Day 1 40 min Read the intro.
  2. Week 1 90 min Build a one-neuron example.
  3. Week 2 90 min Train it on a tiny data set.
  4. Week 3 60 min Change a setting and see what happens.

Times are estimates. Go at your own speed.

Go to the learning site

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Grown-ups: this link goes to a site we do not control and have not reviewed beyond its listing. Please look at it first.

Go to the learning site (opens the original site in a new tab)

http://aosabook.org/en/500L/optical-character-recognition-ocr.html

On another site. From the list: codecrafters-io/build-your-own-x · License: CC0-1.0 · Build your own Neural Network

How to learn from an article or tutorial site

Your path through Python

Stop 30 Build Deep Learning From Scratch (reimplement PyTorch internals across 34 stages) Build project Stop 31 H2O Resource list Stop 32 Optical Character Recognition (OCR) Build project Stop 33 RAG for Document Search Build project Stop 34 SlowTorch: Implementation of PyTorch from the ground up in 100% pure Python Build project

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