MXNet vs PyTorch comparison

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215 views|176 comparisons
PyTorch Logo
1,357 views|996 comparisons
100% willing to recommend
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Executive Summary

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

Find out what your peers are saying about Microsoft, Google, TensorFlow and others in AI Development Platforms.
To learn more, read our detailed AI Development Platforms Report (Updated: April 2024).
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Pricing and Cost Advice
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  • "It is free."
  • "PyTorch is an open-source solution."
  • "It is free."
  • "PyTorch is open-sourced."
  • "PyTorch is open source."
  • More PyTorch Pricing and Cost Advice →

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    Top Answer:The tool is very user-friendly.
    Top Answer:PyTorch is open-sourced. It is a versatile tool. We can get everything online. We can get paid support if we need it.
    Top Answer:I've had issues with stability when I use a lot of data and try out different combinations of modeling techniques. I would also like to see some improvement in parallel processing. We can take… more »
    Ranking
    19th
    Views
    215
    Comparisons
    176
    Reviews
    0
    Average Words per Review
    0
    Rating
    N/A
    10th
    Views
    1,357
    Comparisons
    996
    Reviews
    4
    Average Words per Review
    582
    Rating
    8.5
    Comparisons
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    PyTorch
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    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).

    We've built this course as an introduction to deep learning. Deep learning is a field of machine learning utilizing massive neural networks, massive datasets, and accelerated computing on GPUs. Many of the advancements we've seen in AI recently are due to the power of deep learning. This revolution is impacting a wide range of industries already with applications such as personal voice assistants, medical imaging, automated vehicles, video game AI, and more.

    In this course, we'll be covering the concepts behind deep learning and how to build deep learning models using PyTorch. We've included a lot of hands-on exercises so by the end of the course, you'll be defining and training your own state-of-the-art deep learning models.

    Sample Customers
    Pioneer, nvidia, acer, dely, gumgum, ciao, affable, intel, clusterone, europace, comet, magnet, basler
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    Top Industries
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    VISITORS READING REVIEWS
    Manufacturing Company21%
    Computer Software Company11%
    University9%
    Educational Organization8%
    Company Size
    No Data Available
    VISITORS READING REVIEWS
    Small Business24%
    Midsize Enterprise10%
    Large Enterprise66%
    Buyer's Guide
    AI Development Platforms
    April 2024
    Find out what your peers are saying about Microsoft, Google, TensorFlow and others in AI Development Platforms. Updated: April 2024.
    770,292 professionals have used our research since 2012.

    MXNet is ranked 19th in AI Development Platforms while PyTorch is ranked 10th in AI Development Platforms with 6 reviews. MXNet is rated 0.0, while PyTorch is rated 8.6. On the other hand, the top reviewer of PyTorch writes "User-friendly, easy to learn, performs well, and is more advanced than other tools". MXNet is most compared with , whereas PyTorch is most compared with OpenVINO, Microsoft Azure Machine Learning Studio, Caffe, Google Vertex AI and Google Cloud AI Platform.

    See our list of best AI Development Platforms vendors.

    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.