Fundamentals of Deep Learning for Multiple Data Types

This workshop teaches you to apply deep learning techniques to a range of problems involving multiple data types through a series of hands-on exercises. You will work with widely-used deep learning tools, frameworks, and workflows by performing neural network training on a fully-configured GPU accelerated workstation in the cloud. After a quick introduction to deep learning, you will advance to building deep learning applications for image segmentation, sentence generation, and image and video captioning, while simultaneously learning relevant computer vision, neural network, and natural language processing concepts. At the end of the workshop, you will be able to assess a broad spectrum of problems where you can apply deep learning.

  • Duration: 8 hours
  • Assessment Type: Multiple Choice
  • Certification: Upon successful completion of this workshop, you will receive NVIDIA DLI Certification to prove subject matter competency and support professional career growth
  • Prerequisites: Successful completion of ‘Fundamentals of Deep Learning for Computer Vision’ DLI course or equivalent. Familiarity with basic python (functions and variables) and prior experience training neural networks is expected
  • Languages: English
  • Tools, libraries, and frameworks: TensorFlow, TensorBoard
Content outline              Components
Introduction (45 mins)
  • Course Overview
  • Getting Started with Deep Learning
Image Segmentation with TensorFlow (120 mins)
  • Compare image segmentation to other computer vision problems
  • Experiment with TensorFlow tools
  • Implement effective metrics for assessing model performance
Word Generation with TensorFlow (120 mins)
  • Introduction to Natural Language Processing (NLP) and Recurrent Neural Networks (RNNs)
  • Create network inputs from text data
  • Test with new data
  • Iterate to improve performance
Image and Video Captioning (120 mins)
  • Combine computer vision and natural language processing to describe scenes
  • Learn to harness the functionality of Convolutional Neural Networks
    (CNNs) and RNNs
Summary (15 mins)
  • Summary of Key Learnings
  • Workshop Survey

 

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