About MatConvNet
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MatConvNet Details
Vendor
VLFeat
Year Launched
N/A
Location
Headquarters Address: 2501 Carlmont Drive, Belmont, CA 94002
Deployment
cloud
Training Options
demo, account manager, community
Countries Served
All Countries
Languages
English, Chinese, Spanish, French, German, Russian, Japanese, Portuguese, Italian
Users
Researchers, Data Scientists, Engineers, Developers, Technology Enthusiasts
Industries Served
Healthcare, Education, Finance, Retail, Technology
Tags
Deep Learning, MatConvNet
MatConvNet's In-App Market Place
Does MatConvNet have an in-app market place?
Yes
How many Mini-Apps in the marketplace?
1
Mini Apps
N/A
Pricing Options
Free trial
Free version
Request a quote
Promo Offer
Accepted Payment Currencies
USD ($), EUR (€), GBP (£), JPY (¥), CNY (¥), AUD ($), CAD ($), CHF (Fr), SEK (kr), KRW (₩)
Pros & Cons
- Fully integrated into MATLAB, leveraging its ecosystem for scientific computing.
- Saves development time and resources with a variety of pre-trained models.
- Designed to be both easy to use and performant for CNN tasks.
- Utilizes GPUs for faster computation, essential for deep learning.
- New modular system and support for third-party contributions enhance its adaptability and future growth.
- Requires a MATLAB license, which can be costly and a barrier for non-MATLAB users.
- While powerful for CNNs in computer vision, its scope might be limited for other AI/ML domains.
- The mention of "beta" versions suggests ongoing development and potential for instability or incomplete features at the time of those releases.
- Compared to larger, more widely adopted deep learning frameworks, its community and readily available resources might be smaller.
MatConvNet's Support Options
Documentation
https://www.vlfeat.org/matconvnet/#documentationCommunity Forums
https://groups.google.com/d/forum/matconvnet