DLRG Mini-Course: Fundamentals of GPU computing 2
OnlineTitle: Fundamentals of GPU Computing 2Date: Oct 2, 2023Time: 1-3:30 pm CSTLocation: Online https://forms.gle/o8t4NAnEcfBE1GJ6A
Title: Fundamentals of GPU Computing 2Date: Oct 2, 2023Time: 1-3:30 pm CSTLocation: Online https://forms.gle/o8t4NAnEcfBE1GJ6A
Title: 3D Vision 2 Date: Oct 2, 2023 Time: 4-6pm CST Location: Online https://forms.gle/o8t4NAnEcfBE1GJ6A
Title: GPU Computing with Numba Python 1Date: Oct 9, 2023Time: 1-3:30 pm CSTLocation: Online https://forms.gle/o8t4NAnEcfBE1GJ6A Learning Objectives At the conclusion of the workshop, you’ll have an understanding of the fundamental tools and techniques for GPU-accelerated Python applications with CUDA and Numba: GPU-accelerate NumPy ufuncs with a few lines of code. Configure code parallelization using the […]
Title: 3D Vision 3 Date: Oct 9, 2023 Time: 4-6pm CST Location: Online https://forms.gle/o8t4NAnEcfBE1GJ6A
Title: GPU Computing with Numba Python 2 Date: Oct 16, 2023 Time: 2-4pm CST Location: Online https://forms.gle/o8t4NAnEcfBE1GJ6A
Title: Scientific Machine Learning 1Date: Oct 16, 2023Time: 4-6pm CSTLocation: Online https://forms.gle/o8t4NAnEcfBE1GJ6A
Title: Data Parallel Deep Learning using Multiple GPUs 1Date: Oct 23, 2023Time: 1-3:30pm CSTLocation: Online About This Workshop: This workshop teaches you techniques for training deep neural networks on multi-GPU technology to shorten the training time required for data-intensive applications. Working with deep learning tools, frameworks, and workflows to perform neural network training, you’ll learn […]
Title: Data Parallel Deep Learning using Multiple GPUs 2Date: Oct 30, 2023Time: 1-3:30 pm CSTLocation: Online Registration closed... Check canvas for zoom link
Title: Scientific Machine Learning 3Date: Oct 30, 2023Time: 4-6pm CSTLocation: Online https://forms.gle/o8t4NAnEcfBE1GJ6A
Title: Building Transformers Models for Conversational AI ToolsDate: Nov 6, 2023Time: 1-3:30 pm CSTLocation: Online Registration: https://forms.gle/o8t4NAnEcfBE1GJ6A Learning Objectives Learn how to quickly build and deploy production-quality speech AI applications with real-time transcription and natural language processing (NLP) capabilities.speech AI pipelines are complex and expensive to develop from scratch. In this course, you'll learn to […]