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GET STARTED WITH
DEEP LEARNING

Three simple steps to kick off your deep learning projects for a solo project, a small team, or at scale.

SELECT YOUR SOFTWARE

Find the software that’s right for you. Choose from an interactive app, customizable frameworks, or high-performance libraries.

NVIDIA^® DIGITS^™

Interactively manage data and train deep learning models for image classification, object detection, and image segmentation without the need to write code.

DEEP LEARNING FRAMEWORKS

Design and train deep learning models using a high-level interface. Choose a deep learning framework that best suits your needs based on your choice of programming language, platform, and target application.

NVIDIA DEEP LEARNING SDK

This NVIDIA Deep Learning SDK delivers high-performance multi-GPU acceleration and industry-vetted deep learning algorithms, and is designed for easy drop-in acceleration for deep learning frameworks.

CHOOSE A GPU

NVIDIA GPUs for deep learning are available in desktops, notebooks, servers, and supercomputers around the world, as well as in cloud services from Amazon, IBM, Microsoft, and Google. You can choose a plug-and-play deep learning solution powered by NVIDIA GPUs or build your own.

DESKTOP DEVELOPMENT

NVIDIA TITAN RTX - The most powerful graphics card ever created for the PC is fueling breakthroughs in every industry.
NVIDIA Quadro® GV100 - The most advanced accelerator for deep neural network training on a professional workstation.

DATA CENTER SOLUTIONS

NVIDIA® DGX™ SYSTEMS - The world's portfolio of purpose-built AI supercomputers. NVIDIA DGX systems are designed to give data scientists the most powerful tools for AI exploration that goes from your desk, to the data center, and the cloud.
NVIDIA Tesla® Solutions - The world's leading platform for the accelerated data center, providing the power to accelerate both artificial intelligence and high performance computing workloads.

EMBEDDED APPLICATIONS

NVIDIA Jetson TX2 Developer Kit – a full-featured development platform for visual computing embedded applications.
NVIDIA DRIVE™ PX – a self-driving car computer based on the NVIDIA Tegra X1 processor.

GPU-ACCELERATED CLOUD

Build, train and deploy from the cloud with the NVIDIA GPU Cloud platform or one of our trusted partners: Amazon Web Services, IBM Cloud, Microsoft Azure, Google Cloud.

GET UP AND RUNNING

Choose the options that best suit your needs and learning style.

DEEP LEARNING CLASSES

NVIDIA Deep Learning Institute offers self-paced training and instructor-led workshops
CS229: Machine Learning by Andrew Ng (Baidu)
Deep Learning at Oxford by Nando de Freitas (University of Oxford)
Neural Networks for Machine Learning by Geoffrey Hinton (Google, University of Toronto)
Deep Learning for Computer Vision by Rob Fergus (Facebook, NYU)
Learning from Data by Yasser Abu-Mostafa (Caltech)
Deep Learning for Natural Language Processing (Stanford)

BLOG POSTS AND ARTICLES

Deep Learning in a Nutshell Series by Tim Dettmers (University of Lugano, Switzerland)
Hacker's Guide to Neural Networks by Andrej Karpathy (Stanford University)
Getting Started with DIGITS by Allison Gray (NVIDIA)
Deep Learning Posts on the ParallelForAll technical blog

TECHNICAL PRESENTATION AND WEBINARS

Large-Scale Deep Learning for Building Intelligent Computer Systems by Jeff Dean (Google)
Deep Learning: What's Next by Andrew Ng (Baidu)
Deep Learning at Scale by Ren Wu (Baidu)
GPUs and Machine Learning: A Look at cuDNN by Sharan Chetlur (NVIDIA)

Optimize Your AI Workflows

CUDA-X AI software-acceleration libraries unlock the power of GPUs in your modern AI applications. Accelerate workflows from end to end and get essential optimizations for deep learning, machine learning, and data analysis.

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GET STARTED WITH DEEP LEARNING