NVIDIA Fundamentals of Deep Learning for Computer Vision

  • 31 October 2019
  • 08:30 - 17:30
  • Citylabs
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About this event

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

In this course, you’ll learn the basics of deep learning by training and deploying neural networks. You’ll learn how 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.

• Deploy your neural networks to start solving real-world problems.

Upon completion, you’ll be able to start solving problems on your own with deep learning.

You must bring your own laptop in order to run the training


Eyal Lemberger | PgDip, CISSP-ISSAP, CEH, CEI, ENA

Principal Solutions Architect

Expert in Forensic Computing, Eyal has a wealth of knowledge and working experience in forensic data and security data applications. His knowledge expands from carrying out complex investigations of computer hardware and other electronic devices through to data recovery task and storage solution building. He worked with law enforcement agencies for over 15 years and has since worked within the technology industry, more specifically AI.

Deep Learning Computer Vision, Security and Risk Management, Security Architecture and Engineering, Communications and Network Security, Forensics

Scan Business - https://www.scan.co.uk/business/deep-learning-institute

08:30 - 09:00​ Registration and breakfast
09:00 - 09:30​ Introduction to Computer Vision
09:30 - 09:45 AI Technology Showcase/Partner Presentation
09:45 - 10:00  Break
10:00 - 12:00​​ Train a Neural Network: Hands-On Exercises
12:00 - 12:45 ​​Lunch - Networking
12:45 - 13:00 AI Technology Showcase/Partner Presentation​
13:00 - 15:00 Deploy a Neural Network and Improve Performance: Hands-On Exercises
15:00 - 15:15 ​​Break
15.15 - 15:30 AI Technology Showcase/Partner Presentation
15:30 - 17:30 ​​Diverse Workflows: Hands-On Exercises
17:30 - 17:45 ​​Q&A
17:45​​ ​Networking and refreshments

Click to Register