Optical character recognition

Machine learning training

Prerequisites

Python syntax
Solid knowledge of basic machine learning ideas
(validation methods, gradient descent algorithm, preventing overfitting)
Machine learning experience
Experience with recurrent neural networks

Skills your team will gain

An understanding of challenges in optical character recognition problems.

Experience in creating OCR solutions using modern deep learning methods.

Duration

1 day

Agenda

Part 1

Methods for OCR

  • Basic approach: classification by a convolutional neural network.
  • Hybrid of convolutional and recurrent neural networks.

Part 2

Hands-on coding

  • Case study: document OCR with Tesseract.
  • Case study: license plate recognition with Faster RCNNs.

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    Find us
    • deepsense.ai, Inc.
    • 2100 Geng Road, Suite 210
    • Palo Alto, CA 94303
    • United States of America
    • deepsense.ai Sp. z o.o.
    • al. Jerozolimskie 44
    • 00-024 Warsaw
    • Poland
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