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  • Overview — deep learning for molecules & materials

    Overview A. Math Review 1. Tensors and Shapes B. Machine Learning 2. Introduction to Machine Learning 3. Regression & Model Assessment 4. Classification 5. Kernel Learning C. Deep Learning 6. Deep Learning Overview 7. Standard Layers 8. Graph Neural Networks 9. Input Data & Equivariances 10. Equivariant Neural Networks 11. Explaining Predictions 12. Attention Layers 13. Deep Learning on Sequences

      Overview — deep learning for molecules & materials
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