فروردین ۲۱, ۱۴۰۳ — Posted by Alan Kelly, Software EngineerWe are excited to announce that XNNPack’s Fully Connected and Convolution 2D operators now support dynamic range quantization. XNNPack is TensorFlow Lite’s CPU backend and CPUs deliver the widest reach for ML inference and remain the default target for TensorFlow Lite. Consequently, improving CPU inference performance is a top priority. We quadrupled inferen…
اسفند ۲۳, ۱۴۰۲ — Posted by the TensorFlow team
بهمن ۱۷, ۱۴۰۲ — Posted by Dustin Zelle – Software Engineer, Research and Arno Eigenwillig – Software Engineer, CoreML
آذر ۱۴, ۱۴۰۲ — Posted by the TensorFlow team
آذر ۰۸, ۱۴۰۲ — Posted by Marat Dukhan and Frank Barchard, Software Engineers
آبان ۲۶, ۱۴۰۲ — Posted by Sharbani Roy – Senior Director, Product Management, Google
مهر ۲۷, ۱۴۰۲ — Posted by Surya Kanoria, Joseph Cauteruccio, Federico Tomasi, Kamil Ciosek, Matteo Rinaldi, and Zhenwen Dai – Spotify
مهر ۲۶, ۱۴۰۲ — Posted by Wei Wei, Developer Advocate
شهریور ۲۰, ۱۴۰۲ — Posted by Google: Mathieu Guillame-Bert, Richard Stotz, Robert Crowe, Luiz GUStavo Martins (Gus), Ashley Oldacre, Kris Tonthat, Glenn Cameron, and Tryolabs: Ian Spektor, Braulio Rios, Guillermo Etchebarne, Diego Marvid, Lucas Micol, Gonzalo Marín, Alan Descoins, Agustina Pizarro, Lucía Aguilar, Martin Alcala Rubi
شهریور ۰۲, ۱۴۰۲ — Posted by Ruijiao Sun, Google Intern - DTensor team
مرداد ۲۷, ۱۴۰۲ — Posted by Paul Ruiz, Developer Relations Engineer
مرداد ۱۸, ۱۴۰۲ — Posted by Alan Kelly, Software Engineer
مرداد ۰۳, ۱۴۰۲ — Posted by the TensorFlow and Keras Teams
خرداد ۳۰, ۱۴۰۲ — Posted by Angelica Willis and Akib Uddin, Health AI Team, Google Research
خرداد ۱۶, ۱۴۰۲ — Posted by Wei Wei, Developer Advocate
خرداد ۱۶, ۱۴۰۲ — Posted by Terence Parr, Google
