This is something we've been working on for a while. It dramatically cuts the friction there is in leveraging large-scale distributed Cloud training for Keras models. It also supports Keras Tuner search jobs (single-node for now)
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Want to train your Keras models on a beefy machine on GCP (or just many machines)? With TensorFlow Cloud, you can just add a single line to your script or notebook and get it running -- no config work necessary past the initial setup. Try it: https://github.com/tensorflow/cloud …pic.twitter.com/C0W6bFFwcm
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We think this is pretty amazing. The exact same code you use locally on CPU will work on multiple GPUs in the Cloud with no code changes on your part, and no need to manually manage VMs. How? Magic.
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It works from inside a Colab notebook as well. Develop & debug on Colab, then train in a matter of minutes on a 8-GPU machine in the cloud. Monitor results in TensorBoard, save final models to GCSpic.twitter.com/xKQdYEEbTB
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Wow. This simplifies using beefy machines.
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Congrats on getting this up! Seems to be inspired by or otherwise quite similar to
@RStudio/@fly_upside_down's CloudML, which has supported this type of workflow for R-based Keras deep learning since early 2018 https://tensorflow.rstudio.com/tools/cloudml/getting_started/ … andhttps://blogs.rstudio.com/ai/posts/2018-01-10-r-interface-to-cloudml/ …Thanks. Twitter will use this to make your timeline better. UndoUndo
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@lak_gcp is this something that will be covered in your upcoming book? -
Our upcoming book is on ML patterns & covers neat tricks and best practices that ML practitioners use. Think of it as your *second* book on ML. I'm sure all the books that teach how to write ML code in TF/Keras will reflect the streamlined API soon.
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Its a wrapper for the AI Plaftform CLI or a new product?
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I was literally wishing for this capability the last few weeks. Especially when I was taking the
@TensorFlow Developer Certificate Exam. THIS IS AWESOME NEWS!!!!!Thanks. Twitter will use this to make your timeline better. UndoUndo
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