{"title":"PyVideo.org - Tensorboard","link":[{"@attributes":{"href":"https:\/\/pyvideo.org\/","rel":"alternate"}},{"@attributes":{"href":"https:\/\/pyvideo.org\/feeds\/tag_tensorboard.atom.xml","rel":"self"}}],"id":"https:\/\/pyvideo.org\/","updated":"2019-10-16T00:00:00+00:00","subtitle":{},"entry":{"title":"What's new in PyTorch 1.3","link":{"@attributes":{"href":"https:\/\/pyvideo.org\/pytorch-conference-2019\/whats-new-in-pytorch-13.html","rel":"alternate"}},"published":"2019-10-16T00:00:00+00:00","updated":"2019-10-16T00:00:00+00:00","author":{"name":"Lin Qiao"},"id":"tag:pyvideo.org,2019-10-16:\/pytorch-conference-2019\/whats-new-in-pytorch-13.html","content":"<h3>Description<\/h3><p>Get an overview of the latest updates in PyTorch 1.3. This release includes new experimental features and capabilities including the ability to name tensors, seamless model deployment to mobile devices, quantization, and more.<\/p>\n","category":[{"@attributes":{"term":"PyTorch Conference 2019"}},{"@attributes":{"term":"AI"}},{"@attributes":{"term":"Artificial Intelligence"}},{"@attributes":{"term":"CAPTUM"}},{"@attributes":{"term":"Detectron2"}},{"@attributes":{"term":"Facebook"}},{"@attributes":{"term":"Fairseq Extensions"}},{"@attributes":{"term":"Introduction to PyTorch"}},{"@attributes":{"term":"ML"}},{"@attributes":{"term":"Machine Learning"}},{"@attributes":{"term":"Named Tensors"}},{"@attributes":{"term":"PyTorch"}},{"@attributes":{"term":"PyTorch 1.3"}},{"@attributes":{"term":"PyTorch Mobile"}},{"@attributes":{"term":"PyTorch Overview"}},{"@attributes":{"term":"Tensorboard"}},{"@attributes":{"term":"TorchScript"}}]}}