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Nov 23, 2010 · Released: Jul 27, 2020. Optimizing compiler for evaluating mathematical expressions on CPUs and GPUs. Project description. Theano is a Python library that allows you to define, optimize, and efficiently evaluate mathematical expressions involving multi-dimensional arrays. It is built on top of NumPy. Theano features:
Download¶ Theano is now available on PyPI, and can be installed via easy_install Theano, pip install Theano or by downloading and unpacking the tarball and typing python setup.py install. Those interested in bleeding-edge features should obtain the latest development version, available via:
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- What Is Theano?
- How to Install Theano
- Simple Theano Example
- Extensions and Wrappers For Theano
- More Theano Resources
- Summary
Theano is an open source project released under the BSD license and was developed by the LISA (now MILA) group at the University of Montreal, Quebec, Canada (home of Yoshua Bengio). It is named after a Greek mathematician. At it’s heart Theano is a compiler for mathematical expressions in Python. It knows how to take your structures and turn them i...
Theano provides extensive installation instructions for the major operating systems: Windows, OS X and Linux. Read the Installing Theano guide for your platform. Theano assumes a working Python 2 or Python 3 environment with SciPy. There are ways to make the installation easier, such as using Anaconda to quickly set up Python and SciPy on your mach...
In this section we demonstrate a simple Python script that gives you a flavor of Theano. It is taken from the Theano at a Glance guide. In this example we define two symbolic floating point variables a and b. We define an expression that uses these variables (c = a + b). We then compile this symbolic expression into a function using Theano that we ...
If you are new to deep learning you do not have to use Theano directly. In fact, you are highly encouraged to use one of many popular Python projects that make Theano a lot easier to use for deep learning. These projects provide data structures and behaviors in Python, specifically designed to quickly and reliably create deep learning models whilst...
Looking for some more resources on Theano? Take a look at some of the following. 1. Theano Official Homepage 2. Theano GitHub Repository 3. Theano: A CPU and GPU Math Compiler in Python(2010) (PDF) 4. List of Libraries Built on Theano 5. List of Theano configuration options
In this post you discovered the Theano Python library for efficient numerical computation. You learned that it is a foundation library used for deep learning research and development and that it can be used directly to create deep learning models or by convenient libraries built on top of it such as Lasagne and Keras. Do you have any questions abou...
Dec 5, 2015 · You better use theano bleeding edge version. Otherwise there may occur assertion errors. Run Theano bleeding edge pip install --upgrade --no-deps git+git://github.com/Theano/Theano.git; Run Keras (like 1.0.8 works fine) pip install git+git://github.com/fchollet/keras.git
Usage example
conda install --channel https://conda.anaconda.org/conda-forge kerasIn order to use Theano, the following libraries and software will need to be installed (MacOS and Windows users should refer to platform-specific instructions below for detailed installation steps): Linux, Mac OS X or Windows operating system. We develop mainly on 64-bit Linux machines. other architectures are not well-tested.
These instructions show step-by-step how to install Theano and required dependencies on a 32- or 64-bit system using freely available tools and compilers. Installing Dependencies ¶. Note.
