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the evolution of learnt features from lower to higher layers in neural networks and how this progression facilitates final layer predictions using linear functions. • Examine why training of deep neural networks
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of their remnants (including predictions for GW sources); mixing and transport processes in the stellar interior; nucleosynthesis and the origin of elements, including galacto-chemical evolution - which elements
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