MXNet vs PyTorch comparison

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208 views|169 comparisons
PyTorch Logo
1,398 views|1,023 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
    18th
    Views
    208
    Comparisons
    169
    Reviews
    0
    Average Words per Review
    0
    Rating
    N/A
    11th
    Views
    1,398
    Comparisons
    1,023
    Reviews
    2
    Average Words per Review
    383
    Rating
    9.0
    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.
    768,578 professionals have used our research since 2012.

    MXNet is ranked 18th in AI Development Platforms while PyTorch is ranked 11th 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 "Offers good backward compatible and simple to use". MXNet is most compared with TensorFlow, whereas PyTorch is most compared with OpenVINO, Microsoft Azure Machine Learning Studio, Google Cloud AI Platform, Caffe and Google Vertex AI.

    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.