<address id="xnphl"></address>
<thead id="xnphl"></thead>

    <sub id="xnphl"></sub>

      <address id="xnphl"></address>

        
        
            <address id="xnphl"></address>

            <sub id="xnphl"></sub>

            NVIDIA Deep Learning Institute

            Training You to Solve the World’s Most Challenging Problems

            欧美性爱小说

             The NVIDIA Deep Learning Institute (DLI) offers hands-on training in AI, accelerated computing, and accelerated data science. Developers, data scientists, researchers, and students can get practical experience powered by GPUs in the cloud and earn a certificate of competency to support professional growth. Get started with DLI through self-paced, online training for individuals, in-person workshops for teams, and downloadable course materials for university educators.

            • <span style=

              Online
              Courses

            • <span style=

              In-Person
              Workshops

            • <span style=

              University
              Training

            For self-learners and small teams, we recommend self-paced, online training through DLI and online courses through our partners. With DLI, you’ll have access to a fully configured, GPU-accelerated server in the cloud, gain practical skills for your work, and have the opportunity to earn a certificate of subject matter competency.

            Online training with DLI

            Certificate Available

            Deep Learning Courses

            DEEP LEARNING FUNDAMENTALS

            • Fundamentals of Deep Learning for Computer Vision 

              Explore the fundamentals of deep learning by training neural networks and using results to improve performance and capabilities.

              Prerequisites: Familiarity with basic programming fundamentals such as functions and variables

              Technologies: Caffe, DIGITS

              Duration: 8 hours

              Price: $90 (excludes tax, if applicable)

            • Getting Started with AI on Jetson Nano

              Explore how to build a deep learning classification project with computer vision models using an NVIDIA? Jetson? Nano Developer Kit.

              Prerequisites: Familiarity with Python (helpful, not required)

              Technologies: PyTorch, Jetson Nano

              Duration: 8 hours

              Price: Free

            • Image Classification with DIGITS

              Learn how to train a deep neural network to recognize handwritten digits by loading image data into a training environment, testing with new data, and iterating to improve performance.

              Prerequisites: None

              Technologies: Caffe (with DIGITS interface)

              Duration: 2 hours

              Price: $30 (excludes tax, if applicable)

            • Object Detection with DIGITS

              Learn how to detect objects using computer vision and deep learning by identifying a purpose-built network and using end-to-end labeled data.

              Prerequisites: Basic experience with neural networks

              Technologies: Caffe (with DIGITS interface)

              Duration: 2 hours

              Price: $30 (excludes tax, if applicable)

            • Optimization and Deployment of TensorFlow Models with TensorRT

              Learn how to optimize TensorFlow models to generate fast inference engines in the deployment stage.

              Prerequisites: Experience with TensorFlow and Python

              Technologies: TensorFlow, Python, NVIDIA TensorRT? (TF-TRT)

              Duration: 2 hours

              Price: $30 (excludes tax, if applicable)

            • Deep Learning at Scale with Horovod

              Learn how to scale deep learning training to multiple GPUs with Horovod, the open-source distributed training framework originally built by Uber and hosted by the LF AI Foundation.

              Prerequisites: Competency in Python and professional experience training deep learning models in Python

              Technologies: Horovod, TensorFlow, Keras, Python

              Duration: 2 hours

              Price: $30 (excludes tax, if applicable)

            • Image Segmentation with TensorFlow

              Learn to combine computer vision and natural language processing to describe scenes using deep learning.

              Prerequisites: Basic experience training neural networks

              Technologies: TensorFlow

              Duration: 2 hours

              Price: $30 (excludes tax, if applicable)

            • Signal Processing with DIGITS

              Learn how to classify both image and image-like data using deep learning by converting radio frequency (RF) signals into images to detect a weak signal corrupted by noise.

              Prerequisites: Basic experience training neural networks

              Technologies: Caffe, DIGITS

              Duration: 2 hours

              Price: $30 (excludes tax, if applicable)

            DEEP LEARNING FOR DIGITAL CONTENT CREATION

            • Image Style Transfer with Torch

              Learn how to transfer the look and feel of one image to another image by extracting distinct visual features using convolutional neural networks (CNNs).

              Prerequisites: Experience with CNNs

              Technologies: Torch, CNNs

              Duration: 2 hours

              Price: $30 (excludes tax, if applicable)

            • Rendered Image Denoising Using Autoencoders

              Explore how neural networks with autoencoders can be used to dramatically speed up the removal of noise in ray-traced images.

              Prerequisites: Experience with CNNs

              Technologies: TensorFlow, CNNs

              Duration: 2 hours

              Price: $30 (excludes tax, if applicable)

            • Image Super Resolution Using Autoencoders

              Leverage the power of a neural network with autoencoders to create high-quality images from low-quality source images.

              Prerequisites: Experience with CNNs

              Technologies: Keras, CNNs

              Duration: 2 hours

              Price: $30 (excludes tax, if applicable)

            DEEP LEARNING FOR HEALTHCARE

            • Modeling Time Series Data with Recurrent Neural Networks in Keras

              Explore how to classify and forecast time-series data, such as modeling a patient's health over time, using recurrent neural networks (RNNs).

              Prerequisites: Basic experience with deep learning

              Technologies: Keras

              Duration: 2 hours

              Price: $30 (excludes tax, if applicable)

            • Medical Image Classification Using the MedNIST Dataset

              Explore an introduction to deep learning for radiology and medical imaging by applying CNNs to classify images in a medical imaging dataset.

              Prerequisites: Basic experience with Python

              Technologies: PyTorch, Python

              Duration: 2 hours

              Price: $30 (excludes tax, if applicable)

            • Data Science Workflows for Deep Learning in Medical Applications

              Learn how to apply data augmentation and standardization techniques on a medical imaging dataset and validate your techniques by training a CNN on the dataset.

              Prerequisites: Basic experience with Python and CNNs

              Technologies: PyTorch, Python, CNNs

              Duration: 2 hours

              Price: $30 (excludes tax, if applicable)

            • Medical Image Segmentation with DIGITS

              Explore how to segment MRI images to measure parts of the heart using deep learning techniques.

              Prerequisites: Basic experience with CNNs and Python

              Technologies: DIGITS, Caffe, CNNs, Python

              Duration: 2 hours

              Price: $30 (excludes tax, if applicable)

            • Image Classification with TensorFlow: Radiomics—1p19q Chromosome Status Classification

              Learn how to apply deep learning techniques to detect the 1p19q co-deletion biomarker from MRI imaging.

              Prerequisites: Basic experience with CNNs and Python

              Technologies: TensorFlow, CNNs, Python

              Duration: 2 hours

              Price: $30 (excludes tax, if applicable)

            • Medical Image Analysis with R and MXNet

              Explore how to use CNNs for medical image analysis to infer patient status from non-visible images.

              Prerequisites: Basic experience with CNNs and Python

              Technologies: MXNet, CNNs, Python

              Duration: 2 hours

              Price: $30 (excludes tax, if applicable)

            • Data Augmentation and Segmentation with Generative Networks for Medical Imaging

              Learn how to use generative adversarial networks (GANs) for medical imaging by applying them to the creation and segmentation of brain MRIs.

              Prerequisites: Experience with CNNs

              Technologies: TensorFlow, GANs, CNNs

              Duration: 2 hours

              Price: $30 (excludes tax, if applicable)

            • Coarse-to-Fine Contextual Memory for Medical Imaging

              Learn how to use Coarse-to-Fine Context Memory (CFCM) to improve traditional architectures for medical image segmentation and classification tasks.

              Prerequisites: Experience with CNNs and long short term memory (LSTMs)

              Technologies: TensorFlow, CNNs, CFCM

              Duration: 2 hours

              Price: $30 (excludes tax, if applicable)

            DEEP LEARNING FOR INTELLIGENT VIDEO ANALYTICS

            • AI Workflows for Intelligent Video Analytics with DeepStream

              Learn how to build hardware-accelerated applications for intelligent video analytics (IVA) with DeepStream and deploy them at scale to transform video streams into insights.

              Prerequisites: Experience with C++ and Gstreamer

              Technologies: DeepStream3, C++, Gstreamer

              Duration: 2 hours

              Price: $30 (excludes tax, if applicable)

            • Getting Started with DeepStream for Video Analytics on Jetson Nano

              Learn how to build DeepStream applications to annotate video streams using object detection and classification networks.

              Prerequisites: Basic familiarity with C

              Technologies: DeepStream, TensorRT, Jetson Nano

              Duration: 8 hours; Self-paced

              Price: Free

            Accelerated Computing Courses

            • Fundamentals of Accelerated Computing with CUDA C/C++ 

              Learn how to accelerate and optimize existing C/C++ CPU-only applications to leverage the power of GPUs using the most essential CUDA techniques and the Nsight Systems profiler.

              Prerequisites: Basic C/C++ competency including familiarity with variable types, loops, conditional statements, functions, and array manipulations.

              Technologies: C/C++, CUDA

              Duration: 8 hours

              Price: $90 (excludes tax, if applicable)

            • Fundamentals of Accelerated Computing with CUDA Python

              Explore how to use Numba—the just-in-time, type-specializing Python function compiler—to create and launch CUDA kernels to accelerate Python programs on GPUs.

              Prerequisites: Basic Python competency including familiarity with variable types, loops, conditional statements, functions, and array manipulations. NumPy competency including the use of ndarrays and ufuncs.

              Technologies: CUDA, Python, Numba, NumPy

              Duration: 8 hours

              Price: $90 (excludes tax, if applicable)

            • Fundamentals of Accelerated Computing with OpenACC

              Explore how to build and optimize accelerated heterogeneous applications on multiple GPU clusters using OpenACC, a high-level GPU programming language.

              Prerequisites: Basic experience with C/C++

              Technologies: OpenACC, C/C++

              Duration: 8 hours

              Languages: English

              Price: $90 (excludes tax, if applicable)

            • High-Performance Computing with Containers

              Learn how to reduce complexity and improve portability and efficiency of your code by using a containerized environment for high-performance computing (HPC) application development.

              Prerequisites: Proficiency programming in C/C++ and professional experience working on HPC applications

              Technologies: Docker, Singularity, HPCCM, C/C++

              Duration: 2 hours

              Price: $30 (excludes tax, if applicable)

            • Accelerating Applications with CUDA C/C++

              Learn how to accelerate your C/C++ application using CUDA to harness the power of GPUs.

              Prerequisites: Basic experience with C/C++

              Technologies: C/C++, CUDA

              Duration: 2 hours

              Price: $30 (excludes tax, if applicable)

            • OpenACC – 2X in 4 Steps

              Learn how to accelerate C/C++ or Fortran applications using OpenACC to harness the power of GPUs.

              Prerequisites: Basic experience with C/C++

              Technologies: C/C++, OpenACC

              Duration: 2 hours

              Price: $30 (excludes tax, if applicable)

            • GPU Memory Optimizations with CUDA C/C++

              Learn memory optimization techniques for programming with CUDA C/C++ on a GPU and how to use the NVIDIA Visual Profiler (NVVP) to support these optimizations.

              Prerequisites: Basic experience accelerating applications with CUDA C/C++

              Technologies: CUDA C/C++, NVVP

              Duration: 2 hours

              Price: $30 (excludes tax, if applicable)

            • Accelerating Applications with GPU-Accelerated Libraries in C/C++

              Learn how to accelerate your C/C++ application using CUDA-optimized libraries to harness the power of GPUs.

              Prerequisites: Basic experience accelerating applications with CUDA C/C++

              Technologies: C/C++, CUDA

              Duration: 2 hours

              Price: $30 (excludes tax, if applicable)

            • Using Thrust to Accelerate C++

              Discover how to build GPU-accelerated applications in C/C++ that use the Thrust library.

              Prerequisites: Basic experience accelerating applications with CUDA C/C++

              Technologies: C/C++, Thrust

              Duration: 2 hours

              Price: $30 (excludes tax, if applicable)

            ACCELERATED DATA SCIENCE COURSES

            • Fundamentals of Accelerated Data Science with RAPIDS

              Learn how to perform multiple analysis tasks on large datasets using RAPIDS, a collection of data science libraries that allows end-to-end GPU acceleration for data science workflows.

              Prerequisites: Experience with Python, including pandas and NumPy

              Technologies: RAPIDS, NumPy, XGBoost, DBSCAN, K-Means, SSSP, Python

              Duration: 6 hours

              Price: $90 (excludes tax, if applicable)

            • Accelerating Data Science Workflows with RAPIDS

              Learn to build a GPU-accelerated, end-to-end data science workflow using RAPIDS open-source libraries for massive performance gains.

              Prerequisites: Advanced competency in Pandas, NumPy, and scikit-learn

              Technologies: RAPIDS, Pandas, NumPy, scikit-learn

              Duration: 2 hours

              Price: $30 (excludes tax, if applicable)

            AI COURSES FOR IT

            • Introduction to AI in the Data Center

              Explore an introduction to AI, GPU computing, NVIDIA AI software architecture, and how to implement and scale AI workloads in the data center. You'll understand how AI is transforming society and how to deploy GPU computing to the data center to facilitate this transformation.

              Prerequisites: Basic knowledge of enterprise networking, storage, and data center operations

              Technologies: Artificial intelligence, machine learning, deep learning, GPU hardware and software

              Duration: 4 hours

              Price: $30 (excludes tax, if applicable)

            Online Training with Partners

            DLI collaborates with leading educational organizations to expand the reach of deep learning training to developers worldwide.

            UPCOMING INSTRUCTOR-LED WORKSHOPS

            DLI offers public instructor-led workshops around the world at conferences and universities. View the schedule below to find a workshop near you.

            For large teams or self-learners interested in training in-person, we recommend full-day workshops led by DLI-certified instructors. You can request a full-day workshop onsite for your team or attend a full-day workshop at NVIDIA GPU Technology Conferences (GTCs) around the world. With DLI, you’ll have access to a fully configured, GPU-accelerated server in the cloud, gain practical skills for your work, and have the opportunity to earn a certificate of subject matter competency.

            Certificate Available

            Deep Learning Workshops

            DEEP LEARNING FUNDAMENTALS