Last Updated on July 25, 2023 by Editorial Team
Author(s): Rokas Liuberskis
Originally published on Towards AI.
Construct an accurate handwriting recognition model with PyTorch! Understand how to use the MLTU package to simplify the PyTorch models training pipeline and discover methods to enhance your model’s accuracy.
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In the previous tutorial, I showed you how to build a custom PyTorch model and train it in a wrapper to achieve modularity in our training pipeline. This tutorial will extend the previous tutorials to this one, using IAM Dataset. Before, I showed you how to use TensorFlow to train a model to recognize handwritten text from images. Now I’ll do the same task, but with PyTorch!
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