08:30 23 May
Nvidia
The NVIDIA Deep Learning Institute (DLI) View original picture , opens in new tab/window

NVIDIA DLI lecture: Fundamentals in Deep Learning for Computer Vision

23 May. 2019, 08:30 - 17:00
LTU, A3019
English
free
Published: 10 April 2019

The NVIDIA Deep Learning Institute (DLI) and Luleå University of Technology (LTU) invite you to attend a hands-on deep learning workshop on 2019-05-23 from 08:30–17:00 at the LTU (room A3019), for developers, academic students, staff, and researchers.

NVIDIA DLI offers hands-on training for developers, data scientists, and researchers looking to solve challenging problems with deep learning and accelerated computing.

This workshop teaches deep learning techniques for a range of computer vision tasks through a series of hands-on exercises. You will work with widely-used deep learning tools, frameworks, and workflows to train and deploy neural network models on a fully-configured, GPU-accelerated workstation in the cloud. After a quick introduction to deep learning, you will advance to: building and deploying deep learning applications for image classification and object detection, modifying your neural networks to improve their accuracy and performance, and implementing the workflow you have learned on a final project. At the end of the workshop, you will have access to additional resources to create new deep learning applications on your own.

Duration: 8 hours
Price: free
Assessment type: Coding
Certification: Upon successful completion of the workshop, participants will receive NVIDIA DLI. Certification to recognize subject matter competency and support professional career growth.
Prerequisites: Familiarity with programming fundamentals such as functions and variables.
Languages: English, Japanese, Korean, Chinese
Tools, libraries, and frameworks: Caffe, DIGITS

Learning Objectives

At the conclusion of the workshop, you will have an understanding of the fundamentals of deep learning and be able to:

  • Implement common deep learning workflows, such as image classification and object detection.
  • Experiment with data, training parameters, network structure, and other strategies to increase performance and capability of neural networks.
  • Integrate and deploy neural networks in your own applications to start solving sophisticated real-world problems.

Why Deep Learning Institute Hands-On Training?

  • Learn how to build deep learning and accelerated computing applications across a wide range of industry segments such as autonomous vehicles, digital content creation, finance, game development, and healthcare.
  • Obtain guided hands-on experience using the most widely-used, industry-standard software, tools, and frameworks.
  • Gain real-world expertise through content designed in collaboration with industry leaders including the Children’s Hospital Los Angeles, Mayo Clinic, and PwC.
  • Earn NVIDIA DLI Certification to demonstrate your subject matter competency and support professional career growth.
  • Access courses anywhere, anytime with a fully-configured, GPU-accelerated workstation in the cloud.