Center for Artificial Intelligence Innovation
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3/29/2023: XAI Tutorial: Explainability of Deep Neural Networks Training Overview: DNNs are often treated as black boxes. This talk will focus on some of the modern methods of explainability for DNNs and discuss their implementation, usage, and limitations.
4/5/2023: Weights & Biases workshop: Track, Visualize, and Improve Your Experiments Training Overview: Andrea will take you through a W&B introduction and product walkthrough, including Experiment tracking, W&B Tables, Sweeps, Artifacts, Dashboards/Reports, and Integrations! Followed by a Colab classification competition in Kaggle with swag for top submissions.
4/12/2023: HAL Training: Introduction to Transformer models Training Overview: In this tutorial, you'll gain an understanding how to developing and training Transformer models. We'll compare with Sequence models and explore how to construct and utilize a Vision Transformer. You'll learn about essential components such as PatchEmbeddings, Attention Layers, Class toke