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Theano is a pioneering DL tool (development started in 2007) supporting GPU computation. It is an open source project released under the BSD license [Theano].
It is actively maintained (although no longer developed) by the LISA group (now MILA Montreal Institute for Learning Algorithms [MILA]) at the University of Montreal. At its heart, Theano is a compiler for mathematical expressions in Python to transform structures into very efficient code using NumPy and efficient native libraries like BLAS and native code to run as fast as possible on CPUs or GPUs. Theano supports extensions for multi-GPU data parallelism and has a distributed framework for training models.
Strong points
- Open source, cross-platform, well-maintained project.
- Powerful numerical library that provides the basis for DL research and development.
- Symbolic API supports looping control, which makes implementing RNNs efficient.
Weak points
- Lower level API, difficult to use directly for creating DL models.
- Lack for mobile platform and other programming API’s.
- The active development at the current level has ended after the 1.0.0 version on November 2017 as announced by Y. Bengio [MILA 2017]. The Theano maintenance would continue (the current version is 1.0.1 on January 2018).
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