Inception Neural Networks for Calabi-Yau Manifolds

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In this talk, still online due to the COVID-19 pandemic, we introduce a new neural network architecture, inspired by Google’s Inception network, capable of predicting the Hodge number $h^{1,1}$ with more than $99\%$ of accuracy. The results represent a large improvement on previous attempts at the same task, by increasing the reached accuracy by more than $20\%$.

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