Inside TensorFlow: Resources and Variants

Inside TensorFlow: Resources and Variants [Collection] Take an inside look into the TensorFlow team’s own internal training sessions--technical deep dives into TensorFlow by the very people who are building it! This week we take a look into resources and variants with Alexandre Passos, a Software Engineer on the TensorFlow team. This training session goes over how state is managed in TensorFlow, and how dynamic C++ types are supported in graphs. We explore the stateful bit, ref edges, dt_resource tensors, resource variables, tensor lists, and variant types. Let us know what you think about this presentation in the comments below! TensorFlow on GitHub → https://goo.gle/2HpX3V5 Watch more from Inside TensorFlow Playlist → https://bit.ly/2JBXFtt Subscribe to the TensorFlow channel → https://bit.ly/TensorFlow1