Audience
Engineers and data scientists seeking a deep learning GPU training system solution to improve their image classification research
About NVIDIA DIGITS
The NVIDIA Deep Learning GPU Training System (DIGITS) puts the power of deep learning into the hands of engineers and data scientists. DIGITS can be used to rapidly train the highly accurate deep neural network (DNNs) for image classification, segmentation and object detection tasks. DIGITS simplifies common deep learning tasks such as managing data, designing and training neural networks on multi-GPU systems, monitoring performance in real-time with advanced visualizations, and selecting the best performing model from the results browser for deployment. DIGITS is completely interactive so that data scientists can focus on designing and training networks rather than programming and debugging. Interactively train models using TensorFlow and visualize model architecture using TensorBoard. Integrate custom plug-ins for importing special data formats such as DICOM used in medical imaging.
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Integrations
Company Information
NVIDIA DIGITS
Founded: 1993
United States
developer.nvidia.com/digits
Videos and Screen Captures
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Product Details
Platforms Supported
Cloud
Training
Documentation
Videos
Support
Online
NVIDIA DIGITS Frequently Asked Questions
Q: What kinds of users and organization types does NVIDIA DIGITS work with?
NVIDIA DIGITS works with these users and organization types: Mid Size Business, Small Business, Enterprise, Freelance, Nonprofit, Government, and Startup.
Q: What languages does NVIDIA DIGITS support in their product?
NVIDIA DIGITS supports these languages: English.
Q: What kind of support options does NVIDIA DIGITS offer?
NVIDIA DIGITS offers support via online.
Q: What other applications or services does NVIDIA DIGITS integrate with?
NVIDIA DIGITS integrates with: Caffe, Dask, NetApp AIPod, TensorFlow, Torch, and Unleash live.
Q: What type of training does NVIDIA DIGITS provide?
NVIDIA DIGITS provides training in the form of documentation and videos.
