NVIDIA Fundamentals of Deep Learning for Multiple Data Types

NVIDIA DEEP LEARNING INSTITUTE

This NVIDIA Deep Learning Institute (DLI) course is now available in Israel, by an NVIDIA DLI-certified instructor Tomer Gal, CTO at OpTeamizer Ltd, an official NVIDIA Preferred Partner.


Course Name:

NVIDIA Fundamentals of Deep Learning for Multiple Data Types.


Duration:

1 day.


Course Description:

This workshop uses a series of hands-on exercises to teach deep learning techniques for a range of problems involving multiple data types. After a quick introduction to deep learning, you’ll advance to building deep learning applications for image segmentation, sentence generation, and image and video captioning, while learning relevant computer vision, neural network, and natural language processing concepts. At the end of the workshop, you’ll be able to assess a broad spectrum of problems where deep learning can be applied.

Learning Objectives:

At the conclusion of the workshop, you’ll have an understanding of the fundamentals of deep learning for
multiple data types and be able to:

  • Implement common deep learning workflows such as image segmentation and text generation
  • Compare and contrast data types, workflows, and frameworks
  • Combine deep learning-powered computer vision and natural language processing to start solving sophisticated real-world problems that require multiple input data types


Workshop Outline:

Introduction
15 mins
> Meet the instructor.
> Create an account at courses.nvidia.com/join.
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.
Intermission: Lunch included at Carlton Hotel.
[120 mins]
Word Generation with TensorFlow
120 mins
> Learn about natural language processing (NLP) and recurrent neural networks (RNNs).
> Create network inputs from text data.
> Test with new data and iterate to improve performance.
Break
[15 mins]
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.
Final Review
15 mins
> Review key learnings and wrap up questions.
> Complete the assessment to earn a certificate.
> Take the workshop survey.


Intermission:

Lunch included at Carlton Hotel.


Price:

Enroll to receive price and course information.


For registration:

I have read and agreed to the terms of service

.

Or contact us at:
Tomer.Gal@OpTeamizer.co.il+972 (54) 746-7477
Stavit.Suki@OpTeamizer.co.il+972 (54) 213-1337
Office@OpTeamizer.co.il+972 (3)-953-3365

Location:

Eliezer Peri St 10 (Carlton Hotel), Tel Aviv, Israel