图书标签: 神经网络 计算机 Psychologia Linguistica Cognition
发表于2024-12-23
An Introduction to Neural Networks pdf epub mobi txt 电子书 下载 2024
An Introduction to Neural Networks falls into a new ecological niche for texts. Based on notes that have been class-tested for more than a decade, it is aimed at cognitive science and neuroscience students who need to understand brain function in terms of computational modeling, and at engineers who want to go beyond formal algorithms to applications and computing strategies. It is the only current text to approach networks from a broad neuroscience and cognitive science perspective, with an emphasis on the biology and psychology behind the assumptions of the models, as well as on what the models might be used for. It describes the mathematical and computational tools needed and provides an account of the author's own ideas.Students learn how to teach arithmetic to a neural network and get a short course on linear associative memory and adaptive maps. They are introduced to the author's brain-state-in-a-box (BSB) model and are provided with some of the neurobiological background necessary for a firm grasp of the general subject.The field now known as neural networks has split in recent years into two major groups, mirrored in the texts that are currently available: the engineers who are primarily interested in practical applications of the new adaptive, parallel computing technology, and the cognitive scientists and neuroscientists who are interested in scientific applications. As the gap between these two groups widens, Anderson notes that the academics have tended to drift off into irrelevant, often excessively abstract research while the engineers have lost contact with the source of ideas in the field. Neuroscience, he points out, provides a rich and valuable source of ideas about data representation and setting up the data representation is the major part of neural network programming. Both cognitive science and neuroscience give insights into how this can be done effectively: cognitive science suggests what to compute and neuroscience suggests how to compute it.
这书也是经典,虽然不能教你怎么用tensorflow写CNN,怎么用adpative learning rate来训练的更快。。。但是可以教你很多基础,也覆盖了现在大部分tutorial很少覆盖的energy-based model
评分这书也是经典,虽然不能教你怎么用tensorflow写CNN,怎么用adpative learning rate来训练的更快。。。但是可以教你很多基础,也覆盖了现在大部分tutorial很少覆盖的energy-based model
评分这书也是经典,虽然不能教你怎么用tensorflow写CNN,怎么用adpative learning rate来训练的更快。。。但是可以教你很多基础,也覆盖了现在大部分tutorial很少覆盖的energy-based model
评分这书也是经典,虽然不能教你怎么用tensorflow写CNN,怎么用adpative learning rate来训练的更快。。。但是可以教你很多基础,也覆盖了现在大部分tutorial很少覆盖的energy-based model
评分这书也是经典,虽然不能教你怎么用tensorflow写CNN,怎么用adpative learning rate来训练的更快。。。但是可以教你很多基础,也覆盖了现在大部分tutorial很少覆盖的energy-based model
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An Introduction to Neural Networks pdf epub mobi txt 电子书 下载 2024