Businesses worldwide are using artificial intelligence to solve their greatest challenges. Healthcare professionals use AI to enable more accurate, faster diagnoses in patients. Retail businesses use it to offer personalised customer shopping experiences. Automakers use it to make personal vehicles, shared mobility, and delivery services safer and more efficient. Deep learning is a powerful AI approach that uses multi-layered artificial neural networks to deliver state-of-the-art accuracy in tasks such as object detection, speech recognition, and language translation. Using deep learning, computers can learn and recognise patterns from data that are considered too complex or subtle for expert-written software.
In this course, you’ll learn how deep learning works through hands-on exercises in computer vision and natural language processing. You’ll train deep learning models from scratch, learning tools and tricks to achieve highly accurate results. You’ll also learn to leverage freely available, state-of-the-art pre-trained models to save time and get your deep learning application up and running quickly.
The course is part of the AI Training Series organised by LRZ and powered by NVIDIA Deep Learning Institute (DLI). All instructors are NVIDIA certified University Ambassadors.
By participating in this course, you will:
After you are accepted, please create an account under courses.nvidia.com/join.
Ensure your laptop / PC will run smoothly by going to http://websocketstest.com/ Make sure that WebSockets work for you by seeing under Environment, WebSockets is supported and Data Receive, Send and Echo Test all check Yes under WebSockets (Port 80).If there are issues with WebSockets, try updating your browser.
The NVIDIA Deep Learning Institute delivers hands-on training for developers, data scientists, and engineers. The program is designed to help you get started with training, optimising, and deploying neural networks to solve real-world problems across diverse industries such as self-driving cars, healthcare, online services, and robotics.
An understanding of fundamental programming concepts in Python 3, such as functions, loops, dictionaries, and arrays; familiarity with Pandas data structures; and an understanding of how to compute a regression line.
The lectures are interleaved with many hands-on sessions using Jupyter Notebooks. The exercises will be done on a fully configured GPU-accelerated workstation in the cloud.
English
Ajay Navilarekal Rajgopal (LRZ, NVIDIA certified University Ambassador)
The course is open and free of charge for people from academia from the Member States of the European Union (EU) and Associated Countries to the Horizon 2020 programme.
Please register with your official e-mail address to prove your affiliation.
See Withdrawal
For registration for LRZ courses and workshops we use the service edoobox from Etzensperger Informatik AG (www.edoobox.com). Etzensperger Informatik AG acts as processor and we have concluded a Data Processing Agreement with them.
See Legal Notices
Course | AI Training Series - Fundamentals of Deep Learning - powered by NVIDIA |
Number | hdta4w24 |
Available places | 16 |
Date | 11.02.2025 – 11.02.2025 |
Price | EUR 0.00 |
Location | Leibniz Rechenzentrum Boltzmannstr. 1 85748 Garching b. München |
Room | Kursraum 2 |
Registration deadline | 04.02.2025 23:59 |
[email protected] |
No. | Date | Time | Teacher | Location | Room | Description |
---|---|---|---|---|---|---|
1 | 11.02.2025 | 10:00 – 17:00 | Ajay Navilarekal | Leibniz Rechenzentrum | Kursraum 2 | Lecture |