Debugging TensorFlow with TensorBoard plugins
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46 дней – 1 5520:28
77 дней – 4 8010:15Опубликовано 29 мая 2018, 23:24
TensorBoard is a suite of visualization tools that make it easier to understand, debug, and optimize TensorFlow programs. Developer Advocate Laurence Moroney speaks with Justine Tunney, the dev lead for TensorBoard, about how the debugger plugin gives you an x-ray into your models.
Interactive supervision with TensorBoard → goo.gl/bXu62z
Github → goo.gl/6FuhBC
ML Visualizations with the new TensorBoard API → goo.gl/U9ssAE
Debugging TensorFlow with TensorBoard plugins → goo.gl/yqMJxz
Watch more #DevShow coverage of #TFDevSummit 2018 → goo.gl/M2AcZN
Subscribe to the Google Developers channel! → goo.gl/mQyv5L
Interactive supervision with TensorBoard → goo.gl/bXu62z
Github → goo.gl/6FuhBC
ML Visualizations with the new TensorBoard API → goo.gl/U9ssAE
Debugging TensorFlow with TensorBoard plugins → goo.gl/yqMJxz
Watch more #DevShow coverage of #TFDevSummit 2018 → goo.gl/M2AcZN
Subscribe to the Google Developers channel! → goo.gl/mQyv5L
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