The most modern way to implement a GAN in Keras is actually simply this.pic.twitter.com/7XQqQxZnvz
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You can call `compile()` & `fit()` on this bad boy. It handles callbacks, it has built-in distribution support, etc. It does everything `fit()` usually does. But with your own low-level training algorithm.pic.twitter.com/m2mmbRtcH2
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This is *progressive disclosure of complexity* at work: exactly the amount of low-level control over the details that you need, together with the highest achievable amount of high-level convenience & performance optimization. That's exactly the reason why to use a framework.
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Oh damn! I didn't know this. I'm leading a "Tensorflow 2 for Keras 1 users" session tomorrow at work I'll work this in there as well.
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@threadreaderapp please unroll -
Bonjour, the unroll you asked for:
@fchollet: The most modern way to implement a GAN in Keras is actually simply this. You can call `compile()` & `fit()`… https://threadreaderapp.com/thread/1250622989541838848.html … Talk to you soon.
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