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Francois Chollet is leaving Google

(developers.googleblog.com)
377 points xnx | 3 comments | 13 Nov 24 22:28 UTC | HN request time: 0.625s | 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. dools ◴[13 Nov 24 23:56 UTC] No.42131586[source]▶
FTA "With over two million users, Keras has become a cornerstone of AI development, streamlining complex workflows and democratizing access to cutting-edge technology. It powers numerous applications at Google and across the world, from the Waymo autonomous cars, to your daily YouTube, Netflix, and Spotify recommendations."
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2. mistrial9 ◴[14 Nov 24 00:04 UTC] No.42131649[source]▶
sure -- all true in 2018; right about then pyTorch passed TensforFlow in the raw numbers of research papers using it.. grad students later make products and product decisions.. currently, pyTorch is far more popular, the bulk of that is with LLMs

source: pyTorch Foundation, news

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3. paxys ◴[14 Nov 24 01:16 UTC] No.42132136[source]▶
The existence of a newer, hotter framework doesn't mean all legacy applications in the world instantly switch to it. Quite the opposite in fact.