Since its founding in 1989 by Terrence Sejnowski, Neural Computation has become the leading journal in the field. Foundations of Neural Computationcollects, by topic, the most significant papers that have appeared in the journal over the past nine years.This volume of Foundations of Neural Computation, on unsupervised learning algorithms, focuses on neural network learning algorithms that do not require an explicit teacher. The goal of unsupervised learning is to extract an efficient internal representation of the statistical structure implicit in the inputs. These algorithms provide insights into the development of the cerebral cortex and implicit learning in humans. They are also of interest to engineers working in areas such as computer vision and speech recognition who seek efficient representations of raw input data.
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引用: 神经计算的大牛,至少和hinton一个level,从此书可以看到deep learning背后的科学思想,以及各位学者对这些问题的个人观点;
评分引用: 神经计算的大牛,至少和hinton一个level,从此书可以看到deep learning背后的科学思想,以及各位学者对这些问题的个人观点;
评分引用: 神经计算的大牛,至少和hinton一个level,从此书可以看到deep learning背后的科学思想,以及各位学者对这些问题的个人观点;
评分引用: 神经计算的大牛,至少和hinton一个level,从此书可以看到deep learning背后的科学思想,以及各位学者对这些问题的个人观点;
评分引用: 神经计算的大牛,至少和hinton一个level,从此书可以看到deep learning背后的科学思想,以及各位学者对这些问题的个人观点;
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