Torch

Torch is an open-source machine learning library, primarily used for building and training neural networks. It provides a flexible and efficient framework with support for GPU acceleration, making it suitable for developing deep learning models in research and production environments. Torch is known for its easy-to-use APIs and extensive community support, facilitating rapid prototyping and experimentation with complex models.

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About Torch

Torch was created in 2002 by Ronan Collobert, Samy Bengio, and Johnny Mariéthoz at the Idiap Research Institute. It was developed as a machine learning library to facilitate research in neural networks and deep learning. The framework provided tools for building complex models and offered flexibility and efficiency, particularly with its support for GPU acceleration. Torch gained popularity in the academic community for its ease of use and capabilities in handling deep learning tasks.

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How to hire a Torch expert

A Torch expert must possess strong programming skills in Lua, as Torch is primarily written in this language. They should have a deep understanding of neural networks and deep learning concepts, including experience with building and training models. Proficiency in using GPU acceleration for model training is essential. Familiarity with linear algebra and optimization techniques is also important for effectively implementing and tuning machine learning algorithms within the Torch framework.

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