Compare MXNet vs. TensorFlow

MXNet is ranked 12th in AI Development Platforms while TensorFlow is ranked 2nd in AI Development Platforms. MXNet is rated 0, while TensorFlow is rated 0. On the other hand, MXNet is most compared with , whereas TensorFlow is most compared with Microsoft Azure Machine Learning Studio, Wit.ai and Caffe.
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MXNet Logo
9 views|9 comparisons
TensorFlow Logo
572 views|504 comparisons
Ranking
12th
Views
9
Comparisons
9
Reviews
0
Average Words per Review
0
Avg. Rating
N/A
2nd
Views
572
Comparisons
504
Reviews
0
Average Words per Review
0
Avg. Rating
N/A
Top Comparisons
Compared 24% of the time.
Compared 7% of the time.
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Apache
TensorFlow
Overview

Apache MXNet is a lean, flexible, and ultra-scalable deep learning framework that supports state of the art in deep learning models, including convolutional neural networks (CNNs) and long short-term memory networks (LSTMs).

TensorFlow is an open source software library for high performance numerical computation. Its flexible architecture allows easy deployment of computation across a variety of platforms (CPUs, GPUs, TPUs), and from desktops to clusters of servers to mobile and edge devices. Originally developed by researchers and engineers from the Google Brain team within Google’s AI organization, it comes with strong support for machine learning and deep learning and the flexible numerical computation core is used across many other scientific domains.

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