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

Training a Custom OCR for Captcha Image Text Extraction with TensorFlow and CTC Loss Function: A Step-by-Step Guide. Using the mltu Library to Simplify the Process

Construct an accurate handwriting recognition model with TensorFlow! Understand how to utilize the IAM Dataset to extract text from handwritten images, and discover methods to enhance your model's accuracy

Unlock the power of handwritten sentence recognition with TensorFlow and CTC loss. From digitizing notes to transcribing historical documents and automating exam grading

Master the basics of speech recognition with TensorFlow: Learn how to build and train models, implement real-time audio recognition, and develop practical applications

In this tutorial, I'll cover the basics of PyTorch, how to prepare a dataset, construct the network, define training and validation loops, save the model and finally test the saved model

I will introduce the PyTorch Wrapper in this tutorial, saving us time when developing the PyTorch models training pipeline. We'll be able to do this in blocks!

Construct an accurate handwriting recognition model with PyTorch! Understand how to use MLTU package, to simplify the PyTorch models training pipeline, and discover methods to enhance your model's accuracy