Why enterprises are turning from TensorFlow to PyTorch

Why enterprises are turning from TensorFlow to PyTorch

Why enterprises are turning from TensorFlow to PyTorch. The deep learning framework PyTorch has infiltrated the enterprise thanks to its relative ease of use. Three companies tell us why they chose PyTorch over Google’s renowned TensorFlow framework.

The deep learning framework PyTorch has infiltrated the enterprise thanks to its relative ease of use. Three companies tell us why they chose PyTorch over Google’s renowned TensorFlow framework.

A subcategory of machine learning, deep learning uses multi-layered neural networks to automate historically difficult machine tasks—such as image recognitionnatural language processing (NLP), and machine translation—at scale.

TensorFlow, which emerged out of Google in 2015, has been the most popular open source deep learning framework for both research and business. But PyTorch, which emerged out of Facebook in 2016, has quickly caught up, thanks to community-driven improvements in ease of use and deployment for a widening range of use cases.

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PyTroch — a promisiThe engine and low-level library of PyTorch and TensorFlow are pretty similar and they are basically built by C & C++, so theoretically they shall have similar speed. Then, Let’s shift our attention to the comparisons of PyTorch and TensorFlow in all dimensions.ng framework for DL