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On the Dynamics of Learning Time-Aware Behavior with Recurrent Neural Networks
In this way, we demonstrate how dynamical systems theory can provide insights into not only the learned representations of these models, but also the dynamics of the learning process itself.
Deep Learning Regression of VLSI Plasma Etch Metrology
An enormous amount of information can be gathered from a single etch process, a sequence of actions taken to produce an etched wafer from a blank piece of silicon.
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