What problem was Torch originally developed to solve?

Torch was initially developed to address the challenges of handling large-scale data processing and model training in deep learning. It offers a flexible and efficient deep learning framework that allows for easy construction and training of complex neural network models. With Torch, researchers and developers can rapidly implement their deep learning projects and efficiently train on large datasets.

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