_jens-agerberg-teaching-neural-networks-a-sense-of-geometry.jpg "Jens Agerberg: Teaching Neural Networks a Sense of Geometry from pytorch geometric Video Screenshot Preview")
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⏲ Duration: 17 min 41 sec
✓ Published: 19-Apr-2023
✓ Published: 19-Apr-2023
Description:
By taking neural networks back to the school bench and teaching them some elements of geometry and topology we can build algorithms that can reason about the shape of data. Surprisingly these methods can be useful not only for computer vision – to model input data such as images or point clouds through global, robust properties – but in a wide range of applications, such as evaluating and improving the learning of embeddings, or the distribution of samples originating from generative models.
By taking neural networks back to the school bench and teaching them some elements of geometry and topology we can build algorithms that can reason about the shape of data. Surprisingly these methods can be useful not only for computer vision – to model input data such as images or point clouds through global, robust properties – but in a wide range of applications, such as evaluating and improving the learning of embeddings, or the distribution of samples originating from generative models.
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