Text Recognition With TensorFlow and CTC Network

Author(s): Rokas Liuberskis

Originally published on Towards AI.

In this tutorial, we will explore how to recognize text from images using TensorFlow and CTC loss with the Neural Networks model.

This member-only story is on us. Upgrade to access all of Medium.

The Most Advanced Data Science Roadmaps You’ve Ever Seen! Comes with Thousands of Free Learning Resources and ChatGPT Integration! https://aigents.co/learn/roadmaps/intro

If you came to this article, you should know that extracting text from images is a complex problem. Extracting text of different sizes, shapes, and orientations from images is a fundamental problem in many contexts, especially in augmented reality assistance systems, e-commerce, and content moderation on social media platforms. To solve this problem, we need to extract text from images accurately.

There are two most popular methods that we could use… Read the full blog for free on Medium.

Join thousands of data leaders on the AI newsletter. Join over 80,000 subscribers and keep up to date with the latest developments in AI. From research to projects and ideas. If you are building an AI startup, an AI-related product, or a service, we invite you to consider becoming a sponsor.

Published via Towards AI