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Start doing distributed training in the cloud by just adding one line to your project -- no other code changes. This is the capability I'm most excited about right now.https://twitter.com/TensorFlow/status/1290333758885953536 …
Train your model with TensorFlow Cloud
The TensorFlow Cloud repository provides APIs that allow you to go from debugging and training your Keras models locally to distributed training in the cloud with no code changes to your model.
Learn more → https://goo.gle/3fw72Yg pic.twitter.com/15Svb63M5A
It enables a new kind workflow -- faster, more convenient: - debug your Keras experiment locally - add one line to get the results in 15 min after training on 16 GPUs remotely - visualize the results in http://tensorboard.dev Imagine iterating on your ideas at that speed.
Let's see...
I really gotta start learning TF/keras. It’s going to bite me in a few years when everyone has already made their money.
So dataset and preprocessing will still be local, right? And callbacks will be remote?
Wondering this as well
What if our development team has 2x 2080tis per person and I want to do this over our network at work because we have limited access to cloud computing?
I won’t hate hyperparameter tuning anymore
how does this compares to Horovod?
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