DiRAC, in partnership with NVIDIA Deep Learning Institute, is delighted to be delivering a one-day online workshop on the fundamentals of deep learning.

Aims

• Acquire fundamental techniques and tools to train a deep learning model. 

• Experience with common deep learning data types and model architectures. 

• Enhance datasets through data augmentation to improve model accuracy. 

• Leverage transfer learning between models to achieve efficient results with less data and computation  

• Build confidence to take on your own project with a modern deep learning framework. 

Requirements 

• Understanding of fundamental programming concepts in Python 3, such as functions, loops, dictionaries, Pandas, and arrays; 

• Understanding of how to compute a regression line.

Suggested materials to satisfy the above can be found in Python Beginner’s Guide. 

Itinerary

Short breaks will be announced throughout the session. 

Support 

NVIDIA technical experts will be providing support throughout the event. 

Assessment & Certificate 

• Assessment Type: Skills-based coding assessments evaluate students’ ability to train a deep learning model to high accuracy. 

• Certificate: Upon successful completion of the assessment, participants will receive an NVIDIA DLI certificate to recognise their subject matter competency and support professional career growth. 

Registration 

Registration is now closed. 

Any questions, please do not hesitate to contact:  

Richard Regan, DiRAC Training Manager.