Francois Chollet is leaving Google

(developers.googleblog.com)

377 points xnx | 1 comments | 13 Nov 24 22:28 UTC | HN request time: 0.259s | 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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hooloovoo_zoo ◴[14 Nov 24 03:09 UTC] No.42132756[source]▶

>>42132316 #

Keras was a miracle coming from writing stuff in Theano back in the day though.

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1. V1ndaar ◴[14 Nov 24 05:47 UTC] No.42133449[source]▶

>>42132756 #

I didn't realize Keras was actually released before Tensorflow, huh. I used Theano quite a bit in 2014 and early 2015, but then went a couple years without any ML work. Compared to the modern libraries Theano is clunky, but it taught one a bit more about the models, heh.

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