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.
具體描述
讀後感
評分
評分
評分
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用戶評價
NN的研究雖然看似過時但顯然比其他ML的model更deep更grounded。arithmetic circuit自己那麼坑填不上就彆怪MLer鬍亂整unprovable的算法瞭，縱然嚷著有AG，大炮也不一定能打掉蚊子，有句話說好，It seems, however, that the current mathematical knowledge is very far from being able to prove even simpler claims.
评分NN的研究雖然看似過時但顯然比其他ML的model更deep更grounded。arithmetic circuit自己那麼坑填不上就彆怪MLer鬍亂整unprovable的算法瞭，縱然嚷著有AG，大炮也不一定能打掉蚊子，有句話說好，It seems, however, that the current mathematical knowledge is very far from being able to prove even simpler claims.
评分NN的研究雖然看似過時但顯然比其他ML的model更deep更grounded。arithmetic circuit自己那麼坑填不上就彆怪MLer鬍亂整unprovable的算法瞭，縱然嚷著有AG，大炮也不一定能打掉蚊子，有句話說好，It seems, however, that the current mathematical knowledge is very far from being able to prove even simpler claims.
评分NN的研究雖然看似過時但顯然比其他ML的model更deep更grounded。arithmetic circuit自己那麼坑填不上就彆怪MLer鬍亂整unprovable的算法瞭，縱然嚷著有AG，大炮也不一定能打掉蚊子，有句話說好，It seems, however, that the current mathematical knowledge is very far from being able to prove even simpler claims.
评分NN的研究雖然看似過時但顯然比其他ML的model更deep更grounded。arithmetic circuit自己那麼坑填不上就彆怪MLer鬍亂整unprovable的算法瞭，縱然嚷著有AG，大炮也不一定能打掉蚊子，有句話說好，It seems, however, that the current mathematical knowledge is very far from being able to prove even simpler claims.
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