NVIDIA DIGITS

The NVIDIA 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 without the need to write code.

NVIDIA DIGITS simplifies common deep learning tasks for its users 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.

NVIDIA DIGITS is completely interactive so that data scientists can focus on designing and training networks rather than programming and debugging.

Some of the key features of NVIDIA DIGITS would be allowing its users to design, train and visualize deep neural networks for image classification, segmentation and object detection as well as the ability to download pre-trained models such as AlexNet, GoogLeNet and LeNet from the DIGITS Model Store.

Users can also perform hyper parameter sweep of learning rate and batch size for improved model accuracy. Schedule, monitor, and manage neural network training jobs and analyze accuracy and loss in real time. Import a wide variety of image formats and sources plus scale training jobs across multiple GPUs automatically.

NVIDIA DIGITS is available as a free download to the members of the NVIDIA Developer Program. It is also available as an Amazon Machine Image (AMI) for on-demand usage. Using this program will help users decrease training time and improve model accuracy by starting with pre-trained models.

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