Like Nvidia Partner we organize in Lugano the course "Fundamentals of Deep Learning for Computer Vision"

Fundamentals of
Deep Learning for Computer Vision

PREREQUISITES: none
DATA: May 22. 2019
Duration: 1 day
CITY: Lugano
REGISTRATION FEE: 665 CH + VAT (590 € + IVA)

Download free course introduction and receive information about registration.



Instructor

Nicola Marino, DLI Instructor

A graduate in Electronic Engineering from the University of Naples Federico II and an Artificial Intelligence expert, he works in AGS as Enterprise Solution Architect for the AI4Trading team. Nicola is one of the very few teachers certified in Italy and Switzerland by the NVIDIA Deep Leaning Institute for the courses of Computer Vision, Natural Language Processing, Multiple Data Types and CUDA.

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.

PARTICIPATION IS LIMITED TO A MAXIMUM OF 15 MEMBERS.
IT IS ADVISABLE TO CONFIRM REGISTRATION AS SOON AS POSSIBLE.

Training Course

AGS is the delivery partner of NVIDIA and offers in Italy the Deep Learning Institute courses, structured for “hands-on” training on Artificial Intelligence (AI) and Accelerated Computing, with content designed for developers, data scientists, and researchers.

AGS teachers are among the few in Italy with the certification of “Deep Learning Instructor.” Nvidia courses teach how to train, optimize and distribute neural networks, using the latest tools and techniques for Deep Learning. Participants have the opportunity to learn how to evaluate, parallelize, enhance and implement GPU-accelerated computing applications across a wide range of application domains.

Download free course introduction manual and receive information on how to register.