NVIDIA Issues New Courses on Deep Learning and Recommender Systems
IBL News | New York
NVIDIA announced this week three new courses on fundamentals of deep learning, recommender systems, and Transformer-based applications—which will include access to a configured, GPU-accelerated server in the cloud.
Currently, NVIDIA has over 2 million registered developers.
These courses will be first offered at the GPU Technology Conference on October 5-9, 2020. They will be developed by NVIDIA’s Deep Learning Institute (DLI) and will follow an instructor-led workshop format.
NVIDIA-certified experts in virtual classrooms will participate in a hands-on remote experience, interacting with learners, and tackling coding challenges.
Users will be able to earn certificates of subject competency to support their professional growth.
Some of the courses will be available in Korean, Japanese, and Simplified Chinese for attendees in their respective time zones.
Workshops launched at GTC will include:
- Fundamentals of Deep Learning — How to train a model, work with common data types and model architectures, use transfer learning between models, etc.
- Building Intelligent Recommender Systems — Create different types of recommender systems: content-based, collaborative filtering, etc.
- Building Transformer-Based Natural Language Processing Applications — Word2Vec and recurrent neural network-based embeddings, as well as Transformer architecture features and how to improve them.
Other DLI offerings at GTC will include:
- Fundamentals of Accelerated Computing with CUDA Python.
- Applications of AI for Predictive Maintenance.
- Fundamentals of Accelerated Data Science with RAPIDS.
- Fundamentals of Accelerated Computing with CUDA C/C++.
- Fundamentals of Deep Learning for Multi-GPUs.
- Applications of AI for Anomaly Detection.