How Meta Uses TensorFlow
6 engineering articles about TensorFlow from Meta's engineering team
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Yann LeCun, Geoffrey Hinton, and Yoshua Bengio have been awarded the A. M.
2 min read
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QNNPACK is an open-source library developed by Facebook for optimized mobile deep learning, specifically targeting low-intensity convolutions used in advanced neural networks.
Marat Dukhan
18 min read
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The article discusses the expansion of the Open Neural Network Exchange (ONNX) format, which enhances interoperability among various AI frameworks, thereby accelerating AI development.
The article discusses Facebook's advancements in artificial intelligence (AI) showcased at F8 2018, emphasizing open development frameworks like PyTorch 1. 0 and ONNX.
Jerome Pesenti
8 min read
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The article announces the release of ONNX V1, a production-ready open standard for deep learning frameworks, developed collaboratively by Facebook, AWS, and Microsoft.
Sarah Bird
2 min read
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The article discusses Torchnet, an open-source toolkit designed to facilitate rapid and reusable prototyping of deep learning systems using the Torch framework.
Armand Joulin
7 min read
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