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.
DIGITS is available as a free download to the members of the NVIDIA Developer Program. If you are not already a member, clicking “Download” will ask you join the program.
What’s New in DIGITS 6
- 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
- Pre-trained UNET model added to the DIGITS model store for image segmentation of medical images
Learn more about DIGITS 6:
Image segmentation neural network trained with DIGITS to partition epithelium regions that contribute to identification of tumor
- Design, train and visualize deep neural networks for image classification, segmentation and object detection using Caffe, Torch and TensorFlow
- Download pre-trained models such as AlexNet, GoogLeNet, LeNet and UNET from the DIGITS Model Store
- Perform hyperparameter 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 with DIGITS plug-in
- Scale training jobs across multiple GPUs automatically
DIGITS is an open source project. Customize and extend DIGITS to suit your applications and share your experience using DIGITS on the DIGITS user group.
Import data for image classification and object detection neural networks
Download pre-trained models such as AlexNet, GoogLeNet and others from the DIGITS Model Store
Visualize deep neural network architectures
Schedule, monitor, and manage neural network training jobs
Analyze accuracy and loss in real time
Visualization of inference results
- Image Segmentation using DIGITS 5
- Deep Learning for Object Detection with DIGITS
- DetectNet: Deep Neural Network for Object Detection in DIGITS
- Easy Multi-GPU Deep Learning with DIGITS 2
- Introduction to Deep Learning with DIGITS webinar recording
- DIGITS: Deep Learning GPU Training System
- Accelerate Machine Learning with the cuDNN Deep Neural Network Library
- Deep Learning for Computer Vision with Caffe and cuDNN