HROlive/Advanced-Deep-Learning-with-Transformers
Workshop that will take you from Graph Neural Networks (GNNs) to Transformers, architectures which have led to numerous breakthrough achievements in a variety of fields such as Natural Language Processing (NLP), chemistry, and physics.
This workshop helps deep learning practitioners understand and implement advanced neural network architectures like Graph Neural Networks (GNNs) and Transformers. It takes an understanding of neural networks and provides hands-on coding exercises to build models that can process complex data structures like graphs or finite sets. The output is a working knowledge and implementation of these powerful models, particularly useful for researchers or developers in scientific fields.
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Use this if you are a deep learning practitioner looking to expand your skills beyond traditional fixed-size input models to work with graph-structured data or sequences using GNNs and Transformers.
Not ideal if you are a non-technical user or someone just starting with basic deep learning concepts.
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Last pushed
Sep 11, 2023
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