Train TensorFlow models at cloud scale with TensorFlow Cloud | Demo
Key Takeaways
TensorFlow Cloud enables instant scaling of TensorFlow model training from local environments to cloud-scale compute, allowing for bigger and faster models, as well as concurrent hyper-parameter training for optimization. The demo showcases how to get set up and started with TensorFlow Cloud.
Original Description
What if you could instantly scale your TensorFlow model training from your local environment to take advantage of cloud-scale compute and train a bigger/faster model? Or you could do concurrent hyper-parameter training to more quickly optimize your model for your next Kaggle competition? With tensorflow_cloud, you can! Learn how to get set up and started.
Resources:
Tensorflow.org/cloud → https://goo.gle/3dY4ILQ
Github repo → https://goo.gle/3gM3PrN
Speaker: Sina Chavoshi
Watch more:
TensorFlow at Google I/O 2021 Playlist → https://goo.gle/io21-TensorFlow-1
All Google I/O 2021 Demos → https://goo.gle/io21-alldemos
All Google I/O 2021 Sessions → https://goo.gle/io21-allsessions
Subscribe to TensorFlow → https://goo.gle/TensorFlow
#GoogleIO #Cloud; ML/AI; Open Source
product: TensorFlow - General; event: Google I/O 2021; fullname: Sina Chavoshi; re_ty: Publish;
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