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Comparison of deep learning software

Known as: Comparison of deep learning frameworks, Comparison of deep learning libraries 
The following table compares some of the most popular software frameworks, libraries and computer programs for deep learning.
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.NET FrameworkAmazon Web ServicesAndroidApache SystemML (incubating)

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2019
Highly Cited
2019
Predictive analytics in education: a comparison of deep learning frameworks
Large swaths of data are readily available in various fields, and education is no exception. In tandem, the impetus to derive… 
2018
2018
Parallelized Training of Deep NN: Comparison of Current Concepts and Frameworks
Horizontal scalability is a major facilitator of recent advances in deep learning. Common deep learning frameworks offer… 
2017
2017
Comparison of Deep Learning Frameworks: About Theano, Tensorflow, and Cognitive Toolkit
2017
2017
Performance comparison of deep learning frameworks in image classification problems using convolutional and recurrent networks
Deep learning methods have resulted in effective strategies for improving performance in a large number of applications, becoming… 
2015
2015
Comparison of Deep Learning Libraries on the Problem of Handwritten Digit Classification
This paper presents a comparative analysis of several popular and freely available deep learning frameworks. We compare… 
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