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The Max‑Planck Computing and Data Facility (MPCDF), in partnership with NVIDIA, is pleased to invite you to a one‑day, on-site only, hands‑on Deep Learning workshop.
This NVIDIA Deep Learning Institute (DLI) course provides a comprehensive, hands-on introduction to the fundamentals of deep learning. Through practical exercises, you will train neural networks from the ground up for both computer vision and natural language processing applications. You’ll gain experience with essential tools and techniques to enhance model performance, and discover how to efficiently apply cutting-edge, pre-trained models to accelerate your own projects. By successfully completing the final assessment, you will earn an NVIDIA DLI certificate, demonstrating your proficiency in the foundational concepts and practical skills of deep learning.
Learning Objectives
- 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
Topics Covered
- PyTorch
- Convolutional Neural Networks (CNNS)
- Data Augmentation
- Transfer Learning
- Natural Language Processing
Prerequisites
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.
Hardware Requirements
Laptop capable of running the latest version of Chrome or Firefox. Each participant will be provided with dedicated access to a fully configured, GPU-accelerated server in the cloud.
Contacts:
If you have any questions about the workshop or the application process, feel free to contact us:
- ai-training@mpcdf.mpg.de