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Theano is a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. Theano features: tight integration with NumPy – Use numpy.ndarray in Theano-compiled functions.
Aug 19, 2019 · Theano is a Python library for fast numerical computation that can be run on the CPU or GPU. It is a key foundational library for Deep Learning in Python that you can use directly to create Deep Learning models or wrapper libraries that greatly simplify the process.
Theano was a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. It is being continued as PyTensor: www.github....
Jan 5, 2020 · Theano is a numerical computation library that allows you to define optimize and evaluate mathematical expressions involving multi-dimensional arrays efficiently. It was developed for Python. It runs efficiently on both GPU or CPU. The computations in Theano are expressed in a format similar to NumPy, the numerical library for Python.
May 9, 2016 · Theano: A Python framework for fast computation of mathematical expressions. Theano is a Python library that allows to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently.
Theano was a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. It is being continued as PyTensor: www.github.com/pymc-devs/pytensor. Library to manipulate tensors on the GPU.
Theano is a Python library that allows to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. Since its introduction in [1] it has been one of the most used CPU and GPU mathematical compilers – especially in the machine learning community [2] – and has shown steady performance improvements [3].
