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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: 0.214s | source
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osm3000 ◴[14 Nov 24 01:48 UTC] No.42132316[source]▶
I loved Keras at the beginning of my PhD, 2017. But it was just the wrong abstraction: too easy to start with, too difficult to create custom things (e.g., custom loss function).

I really tried to understand TensorFlow, I managed to make a for-loop in a week. Nested for-loop proved to be impossible.

PyTorch was just perfect out of the box. I don't think I would have finished my PhD in time if it wasn't for PyTorch.

I loved Keras. It was an important milestone, and it made me believe deep learning is feasible. It was just...not the final thing.

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1. rd11235 ◴[14 Nov 24 03:09 UTC] No.42132755[source]▶
> it was just the wrong abstraction: too easy to start with, too difficult to create custom things

Couldn’t agree with this more. I was working on custom RNN variants at the time, and for that, Keras was handcuffs. Even raw TensorFlow was better for that purpose (which in turn still felt a bit like handcuffs after PyTorch was released).