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About
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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About
Neurons are the basic unit of the neural network. They can be connected to another neuron or gate connections between other neurons. This allows you to create complex and flexible architectures. Trainers can take any given network regardless of its architecture and use any training set. It includes built-in tasks to test networks, like learning an XOR, completing a Discrete Sequence Recall task or an Embeded Reber Grammar test. Networks can be imported/exported to JSON, converted to workers or standalone functions. They can be connected to other networks or gate connections. The Architect includes built-in useful architectures such as multilayer perceptrons, multilayer long short-term memory networks (LSTM), liquid state machines and Hopfield networks. Networks can also be optimized, extended, exported to JSON, converted to Workers or standalone Functions, and cloned. A network can project a connection to another, or gate a connection between two others networks.
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Audience
Engineers and data scientists seeking a deep learning GPU training system solution to improve their image classification research
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Audience
Developers looking for an architecture-free neural network library for node.js and the browser
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Support
Phone Support
24/7 Live Support
Online
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Support
Phone Support
24/7 Live Support
Online
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API
Offers API
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API
Offers API
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Screenshots and Videos |
Screenshots and Videos |
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Pricing
No information available.
Free Version
Free Trial
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Pricing
No information available.
Free Version
Free Trial
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Reviews/
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Reviews/
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Training
Documentation
Webinars
Live Online
In Person
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Training
Documentation
Webinars
Live Online
In Person
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Company InformationNVIDIA DIGITS
Founded: 1993
United States
developer.nvidia.com/digits
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Company InformationSynaptic
caza.la/synaptic/#/
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Categories |
Categories |
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Integrations
Caffe
Dask
NetApp AIPod
TensorFlow
Torch
Unleash live
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