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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: 0.243s | source
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minimaxir ◴[13 Nov 24 23:23 UTC] No.42131340[source]▶
Genuine question: who is using Keras in production nowadays? I've done a few work projects in Keras/TensorFlow over the years and it created a lot of technical debt and lost time debugging it, with said issues disappearing once I switched to PyTorch.

The training loop with Keras for simple model is indeed easier and faster than PyTorch oriented helpers (e.g. Lightning AI, Hugging Face accelerate) but much, much less flexible.

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1. braza ◴[14 Nov 24 14:53 UTC] No.42136668[source]▶
I implemented Keras in Production in 2019 (Computer Vision Classification for Fraud Detection) in my previous employer and I got in touch with the current team, they are happy and still using it in production with small updates only (security updates).

In our case, we made some ensembling with several small models using Keras. Our secret sauce at that time was in the specificity of our data and the labeling.