*** REGISTER IS POSSIBLE WITH UNIVERSITY AND RESEARCH LAB EMAIL ADDRESS ONLY. REGISTRATIONS WILL BE VERIFIED IN THE LOBBY OF THE ONLINE EVENT. ***
Discover 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.
By participating in this is workshop, you’ll:
- Learn the fundamental techniques and tools required to train a deep learning model
- Gain 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
Prerequisite(s):
An understanding of fundamental programming concepts in Python such as functions, loops, dictionaries, and arrays.
Bálint Gyires-Tóth, BME TMIT Senior Lecturer, NVidia DLI Certified Instructor and University Ambassador
Language: English
Audience Level: Beginner Technical
Organized by NVidia DLI (http://www.nvidia.com/dli) and BME TMIT (https://www.tmit.bme.hu/)
