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A Neural Network Based On First Principles
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A Neural Network Based On First Principles
In this paper, a Neural network is derived from first principles, assuming only that each layer begins with a linear dimension-reducing transformation. The approach appeals to the principle of Maximum Entropy (Max-Ent) to find the posterior distribution o
In this paper, a Neural network is derived from first principles, assuming only that each layer begins with a linear dimension-reducing transformation. The approach appeals to the principle of Maximum Entropy (Max-Ent) to find the posterior distribution o
