Machine Learning

1 readers

1 users here now

Community Rules:

Be nice. No offensive behavior, insults or attacks: we encourage a diverse community in which members feel safe and have a voice.
Make your post clear and comprehensive: posts that lack insight or effort will be removed. (ex: questions which are easily googled)
Beginner or career related questions go elsewhere. This community is focused in discussion of research and new projects that advance the state-of-the-art.
Limit self-promotion. Comments and posts should be first and foremost about topics of interest to ML observers and practitioners. Limited self-promotion is tolerated, but the sub is not here as merely a source for free advertisement. Such posts will be removed at the discretion of the mods.

founded 1 year ago

MODERATORS

communick@academy.garden

[D] Are you excited about the upcoming Keras 3.0? (alien.top)

submitted 1 year ago by hyxon4@alien.top to c/machinelearning@academy.garden

49 comments fedilink hide all child comments

Creator of Keras confirmed that the new version comes out in a few days. Keras becomes multi-backend again with support for PyTorch, TensorFlow and JAX. Personally, I'm excited to be able to try JAX without having to deep dive into documentation and entire ecosystem. What about you?

you are viewing a single comment's thread
view the rest of the comments

[–] Relevant-Yak-9657@alien.top 1 points 1 year ago

Actually, another perspective to put is that TensorFlow's deployment is something JAX doesn't have (not that I know of) and cutting it would be idiotic for google, since they eliminated their own tool in an ongoing AI revolution. TensorFlow is their current tool and if they are going to abandon it, they will need a strong replacement for it's deployability which does guarantee a few years (since the JAX team doesn't seem to be quite focused in deployment). IIRC JAX deploys by Tensorflow rn.