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Francois Chollet is leaving Google

(developers.googleblog.com)
377 points xnx | 1 comments | 13 Nov 24 22:28 UTC | HN request time: 0.212s | source
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tadeegan ◴[13 Nov 24 23:18 UTC] No.42131302[source]▶
I guess they realized muilti-backend keras is futile? I never liked the tf.keras apis and the docs always promosed multi backend but then I guess they were never able to deliver that without breaking keras 3 changes. And even now.... "Keras 3 includes a brand new distribution API, the keras.distribution namespace, currently implemented for the JAX backend (coming soon to the TensorFlow and PyTorch backends)". I don't believe it. They are too different to reconcile under 1 api. And even if you could, I dont really see the benefit. Torch and Flax have similar goals to Keras and are imo better.
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1. hedgehog ◴[14 Nov 24 00:26 UTC] No.42131787[source]▶
Multi-backend Keras was great the first time around and it might be a more widely used API today if the TF team hadn't pulled that support and folded Keras into TF. I'm sure they had their reasons but I suspect that decision directly increased the adoption of PyTorch.