Introduction to Deep Learning
This course provides an introduction to deep learning, one of the most powerful and rapidly evolving areas of machine learning. It covers the fundamental concepts, core methodologies, and current trends in deep learning.
Praktische info:
Inschrijven?
- Voorwaarden: Een basiskennis van Python-programmeren is essentieel. Kennis van de basisprincipes van machine learning is nuttig, maar niet verplicht
- Prijs: Gratis
georganiseerd door:
Leertraject
The course aims to equip students with the theoretical understanding and practical skills needed to apply deep learning techniques effectively and to design and implement models that can be executed on cluster machines.
Skills:
By the end of the course, each student will be able to:
- Understand the key principles and architectures of deep learning
- Identify and analyze relevant real-world use cases
- Implement and train deep learning models using PyTorch
- Design experiments suitable for execution on cluster computing environments
Intended for:
Companies, Research Institutions and Universities
Area:
Techniques and Data
Length:
3 dd
Course material and recordings:
https://learn.cineca.it/course/view.php?id=2220
Files e allegati:
agenda_introductiontodeeplearning_cineca.pdf
Any question?
For HPC and computer graphics courses, write to corsi.hpc@cineca.it
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