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Caffe vs MXNet comparison

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Caffe Logo
Caffe
Read 1 Caffe review
270 views|196 comparisons
100% willing to recommend
Apache Logo
MXNet
215 views|176 comparisons
Buyer's Guide
AI Development Platforms
May 2024
Executive Summary

We performed a comparison between Caffe and MXNet based on real PeerSpot user reviews.

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Featured Review
Raed Lafi
Speeds up the development process but needs to evolve more to stay relevant
Since its development, Caffe has been one of the most famous solutions. TensorFlow comes in second place — it's still a little underdeveloped; it... Read more →
Use MXNet?
Ranking
17th
out of 29 in AI Development Platforms
Views
270
Comparisons
196
Reviews
0
Average Words per Review
0
Rating
N/A
19th
out of 29 in AI Development Platforms
Views
215
Comparisons
176
Reviews
0
Average Words per Review
0
Rating
N/A
Buyer's Guide
AI Development Platforms
May 2024
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Comparisons
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Caffe
Apache
Overview

Caffe is a deep learning framework made with expression, speed, and modularity in mind. It is developed by Berkeley AI Research (BAIR) and by community contributors.

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).

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Buyer's Guide
AI Development Platforms
May 2024
Download Free Report
Find out what your peers are saying about Microsoft, Google, TensorFlow and others in AI Development Platforms. Updated: May 2024.
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771,170 professionals have used our research since 2012.

Caffe is ranked 17th in AI Development Platforms while MXNet is ranked 19th in AI Development Platforms. Caffe is rated 7.0, while MXNet is rated 0.0. The top reviewer of Caffe writes "Speeds up the development process but needs to evolve more to stay relevant". On the other hand, Caffe is most compared with PyTorch, whereas MXNet is most compared with PyTorch.

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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.