Reconstructing a neural net from its output
نویسندگان
چکیده
منابع مشابه
Recovering a Feed-Forward Net From Its Output
We study feed-forward nets with arbitrarily many layers, using the standard sigmoid, tanh x. Aside from technicalities, our theorems are: 1. Complete knowledge of the output of a neural net for arbitrary inputs uniquely specifies the architecture, weights and thresholds; and 2. There are only finitely many critical points on the error surface for a generic training problem. Neural nets were ori...
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ژورنال
عنوان ژورنال: Revista Matemática Iberoamericana
سال: 1994
ISSN: 0213-2230
DOI: 10.4171/rmi/160