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Peli Grietzer: A Mathematized Philosophy of Literature
The Gradient: Perspectives on AI
The Constraints of Nodes in the Bottleneck Layer in Neural Networks
The number of nodes in the bottleneck layer constrains how much information the encoder can pass from the input to the output./nDeep learning can lead to the formation of a proto conceptual mapping of the domain being trained on./nThe choice of domain for training can impact the performance of the encoder./nUsing a Euclidean pixel distance cost function can help in reproducing the input as the output.
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