I'm a pytorch user. But seeing u use the right insights (spot instance) makes me think of going back to tensorflow..
Keras tip: if you're training models in unreliable environments like spot instances (or for long stretches of time), make sure to use the BackupAndRestore callback to be able to resume training where you left off, in just a couple of lines of configurationhttps://www.tensorflow.org/api_docs/python/tf/keras/callbacks/experimental/BackupAndRestore …
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Making everything cloud-backed and instantly restorable is a big life improvement in any framework. Also a big life improvement: if you're a Keras user you'll probably use Keras 90% of the time and TF 10% of the time.
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Thanks for the tip
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Such as a great feature!
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I’ve been bitten relatively hard for not doing this.
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I wish I could like this tweet more than once
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as a heavy colab user this comes right in time.
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Works for custom models too?
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