SymJAX is a symbolic programming version of JAX simplifying graph input/output/updates and providing additional functionalities for general machine learning and deep learning applications. From an user perspective SymJAX provides a la Theano experience with fast graph optimization/compilation and broad hardware support, along with Lasagne-like deep learning functionalities.

中文翻译：

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SymJAX：符号 CPU/GPU/TPU 编程

SymJAX 是 JAX 的符号编程版本，可简化图形输入/输出/更新并为一般机器学习和深度学习应用程序提供附加功能。从用户的角度来看，SymJAX 提供了具有快速图形优化/编译和广泛硬件支持的 la Theano 体验，以及类似千层面的深度学习功能。