Keras社区更新：新后端计划与模型库扩展
精选理由
Keras正在革新后端架构，支持更多框架，模型库也更丰富了。
Keras宣布推出可插拔后端计划，即将支持MLX和PaddlePaddle后端。新后端将作为附加库安装，减少新后端所需的操作数量。KerasHub模型库新增大量模型，并从tf-text预处理转向PyGrain。
原文 · François Chollet
Summary of the Keras community call --
1. New pluggable backend plan, upcoming MLX and PaddlePaddle backends; new backends are installed as add-on libraries
2. Reducing number of ops needed to ship new backends; adding backend-agnostic implementations of all secondary ops
3. Streamlining unit testing for new ops; a single harness can now test all ops functionality like casting consistency, etc.
4. Lots of new models available in KerasHub
5. Moving KerasHub away from tf-text preprocessing and adopting PyGrain instead