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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.

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.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Engineers and data scientists seeking a deep learning GPU training system solution to improve their image classification research

Audience

Developers looking for an architecture-free neural network library for node.js and the browser

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

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Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

NVIDIA DIGITS
Founded: 1993
United States
developer.nvidia.com/digits

Company Information

Synaptic
caza.la/synaptic/#/

Alternatives

Alternatives

Sharky Neural Network

Sharky Neural Network

SharkTime Software

Categories

Categories

Integrations

Caffe
Dask
NetApp AIPod
TensorFlow
Torch
Unleash live

Integrations

Caffe
Dask
NetApp AIPod
TensorFlow
Torch
Unleash live
Claim NVIDIA DIGITS and update features and information
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