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Bender vs Theano

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Bender
4
10
+ 1
0
Theano
31
65
+ 1
0
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Bender vs Theano: What are the differences?

What is Bender? A Deep Learning framework for iOS. Easily craft fast Neural Networks on iOS! Use TensorFlow models. Metal under the hood.

What is Theano? Define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. Theano is a Python library that lets you to define, optimize, and evaluate mathematical expressions, especially ones with multi-dimensional arrays (numpy.ndarray). Using Theano it is possible to attain speeds rivaling hand-crafted C impleme.

Bender and Theano can be categorized as "Machine Learning" tools.

Bender and Theano are both open source tools. Theano with 8.83K GitHub stars and 2.49K forks on GitHub appears to be more popular than Bender with 1.65K GitHub stars and 87 GitHub forks.

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What is Bender?

Easily craft fast Neural Networks on iOS! Use TensorFlow models. Metal under the hood.

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).

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Jobs that mention Bender and Theano as a desired skillset
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What companies use Bender?
What companies use Theano?
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What tools integrate with Bender?
What tools integrate with Theano?
    No integrations found
    What are some alternatives to Bender and Theano?
    Homer
    It is a text analyser in Python, can help make your text more clear, simple and useful for your readers. It provides information on an overall text as well as on individual paragraphs. It gives insights into readability, length of paragraphs, length of sentences, average sentences per paragraph, average words in a sentence, etc. It also tries to identify certain kind of vague words.
    TensorFlow
    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.
    PyTorch
    PyTorch is not a Python binding into a monolothic C++ framework. It is built to be deeply integrated into Python. You can use it naturally like you would use numpy / scipy / scikit-learn etc.
    scikit-learn
    scikit-learn is a Python module for machine learning built on top of SciPy and distributed under the 3-Clause BSD license.
    Keras
    Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on TensorFlow or Theano. https://keras.io/
    See all alternatives

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