Neural networks are a computing paradigm that is finding increasing attention among computer scientists. In this book, theoretical laws and models previously scattered in the literature are brought together into a general theory of artificial neural nets. Always with a view to biology and starting with the simplest nets, it is shown how the properties of models change when more general computing elements and net topologies are introduced. Each chapter contains examples, numerous illustrations, and a bibliography. The book is aimed at readers who seek an overview of the field or who wish to deepen their knowledge. It is suitable as a basis for university courses in neurocomputing.
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NN的研究虽然看似过时但显然比其他ML的model更deep更grounded。arithmetic circuit自己那么坑填不上就别怪MLer胡乱整unprovable的算法了，纵然嚷着有AG，大炮也不一定能打掉蚊子，有句话说好，It seems, however, that the current mathematical knowledge is very far from being able to prove even simpler claims.
评分NN的研究虽然看似过时但显然比其他ML的model更deep更grounded。arithmetic circuit自己那么坑填不上就别怪MLer胡乱整unprovable的算法了，纵然嚷着有AG，大炮也不一定能打掉蚊子，有句话说好，It seems, however, that the current mathematical knowledge is very far from being able to prove even simpler claims.
评分NN的研究虽然看似过时但显然比其他ML的model更deep更grounded。arithmetic circuit自己那么坑填不上就别怪MLer胡乱整unprovable的算法了，纵然嚷着有AG，大炮也不一定能打掉蚊子，有句话说好，It seems, however, that the current mathematical knowledge is very far from being able to prove even simpler claims.
评分NN的研究虽然看似过时但显然比其他ML的model更deep更grounded。arithmetic circuit自己那么坑填不上就别怪MLer胡乱整unprovable的算法了，纵然嚷着有AG，大炮也不一定能打掉蚊子，有句话说好，It seems, however, that the current mathematical knowledge is very far from being able to prove even simpler claims.
评分NN的研究虽然看似过时但显然比其他ML的model更deep更grounded。arithmetic circuit自己那么坑填不上就别怪MLer胡乱整unprovable的算法了，纵然嚷着有AG，大炮也不一定能打掉蚊子，有句话说好，It seems, however, that the current mathematical knowledge is very far from being able to prove even simpler claims.
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