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SymJAX: symbolic CPU/GPU/TPU programming
Published 21 May 2020 in cs.MS and cs.CV | (2005.10635v1)
Abstract: 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.
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