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 highly accurate deep neural networks (DNNs) for image classification, segmentation, and object detection tasks. It 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, allowing data scientists to focus on designing and training networks rather than programming and debugging.

Features

• Data Management: Simplifies data management for deep learning tasks.
• Neural Network Design: Facilitates the design and training of neural networks on multi-GPU systems.
• Real-Time Monitoring: Provides real-time performance monitoring with advanced visualizations.
• Model Selection: Allows selection of the best performing model from the results browser for deployment.
• Interactive Interface: Offers a fully interactive interface for ease of use.

Benefits

• Rapid Training: Enables rapid training of deep neural networks.
• High Accuracy: Achieves high accuracy in image classification, segmentation, and object detection tasks.
• User-Friendly: Provides a user-friendly interface for data scientists.
• Efficient Workflow: Streamlines the workflow for designing and training neural networks.
• Advanced Visualization: Enhances performance monitoring with advanced visualizations.