In this tutorial, we will explore how to recognize text from images using TensorFlow and the CTC loss function in a neural network model. We will start with an introduction to text recognition and the different approaches used to extract text from images. We will then dive into the specifics of using TensorFlow and the CTC loss function to build our custom OCR system. The tutorial will also introduce a new open-source library called MLTU (Machine Learning Training Utilities) that can be used to store code for future projects. By the end of this tutorial, you will have a working OCR model that you can use to recognize text from images. This is the first part of a tutorial series, so stay tuned for more in-depth content on text recognition and other machine-learning topics.
Text Version Tutorial: [ Ссылка ]
GitHub: [ Ссылка ]
pypi: [ Ссылка ]
#machinelearning #python #tensorflow #opencv #ocr
