Compare Amazon Augmented AI vs. MXNet

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Amazon Augmented AI Logo
56 views|49 comparisons
MXNet Logo
29 views|25 comparisons
Ranking
12th
Views
56
Comparisons
49
Reviews
0
Average Words per Review
0
Rating
N/A
16th
Views
29
Comparisons
25
Reviews
0
Average Words per Review
0
Rating
N/A
Find out what your peers are saying about Microsoft, TensorFlow, OpenVINO and others in AI Development Platforms. Updated: February 2021.
464,655 professionals have used our research since 2012.
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Also Known As
Amazon A2I
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Overview

Amazon Augmented AI (Amazon A2I) makes it easy to build the workflows required for human review of ML predictions. Amazon A2I brings human review to all developers, removing the undifferentiated heavy lifting associated with building human review systems or managing large numbers of human reviewers.

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).

Offer
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Learn more about MXNet
Sample Customers
T Mobile, VidMob, Ripcord, NHS BSA
Pioneer, nvidia, acer, dely, gumgum, ciao, affable, intel, clusterone, europace, comet, magnet, basler
Find out what your peers are saying about Microsoft, TensorFlow, OpenVINO and others in AI Development Platforms. Updated: February 2021.
464,655 professionals have used our research since 2012.

Amazon Augmented AI is ranked 12th in AI Development Platforms while MXNet is ranked 16th in AI Development Platforms. Amazon Augmented AI is rated 0.0, while MXNet is rated 0.0. On the other hand, Amazon Augmented AI is most compared with Microsoft Azure Machine Learning Studio, whereas MXNet is most compared with .

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We monitor all AI Development Platforms reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.