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Define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently
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What is Theano?

Theano is a Python library that lets you to define, optimize, and evaluate mathematical expressions, especially ones with multi-dimensional arrays (numpy.ndarray).
Theano is a tool in the Machine Learning Tools category of a tech stack.
Theano is an open source tool with 9.9K GitHub stars and 2.5K GitHub forks. Here’s a link to Theano's open source repository on GitHub

Who uses Theano?

4 companies reportedly use Theano in their tech stacks, including Vuclip, zetaops, and Cyanapse.

28 developers on StackShare have stated that they use Theano.

Theano Integrations

Theano Alternatives & Comparisons

What are some alternatives to Theano?
TensorFlow is an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API.
A deep learning framework designed for both efficiency and flexibility. It allows you to mix symbolic and imperative programming to maximize efficiency and productivity. At its core, it contains a dynamic dependency scheduler that automatically parallelizes both symbolic and imperative operations on the fly.
Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on TensorFlow or Theano.
It is easy to use and efficient, thanks to an easy and fast scripting language, LuaJIT, and an underlying C/CUDA implementation.
It is a deep learning framework made with expression, speed, and modularity in mind.
See all alternatives

Theano's Followers
65 developers follow Theano to keep up with related blogs and decisions.