原作名:Michael Nielsen 出版年:2016-1 页数:224 装帧:online ISBN:9780780354197 豆瓣评分 9.5 254人评价 5星 82.7% 4星 15.0% 3星 2.4% 2星 0.0% 1星 0.0% 评价: 写笔记 写书评 加入购书单 分享到 推荐 内容简介· ··· http://neuralnetworksanddeeplearning.com/ 目录·...
y): """Return the cost associated with an output ``a`` and desired output ``y``. """ return 0.5*np.linalg.norm(a-y)**2 @staticmethod def delta(z, a, y):
改进神经网络的学习方法 最近在看 Michael Nielsen的Neural Networks and Deep Learning,这本书是以网页的形式放在网上,非常合适入门,附上传送地址:http:///chap1.html#learning_with_gradient_descent 国内哈工大社会计算与信息检索研究中心将这本书翻译成中文版放在网络上,地址为:https://hit-scir./neural-networks...
Deep Learning, book by Ian Goodfellow, Yoshua Bengio, and Aaron Courville cognitivemedium.com By Michael Nielsen / Dec 2019 One of the most striking facts about neural networks is that they can compute any function at all. That is, suppose someone hands you some complicated, wiggly function,...
《Neural Network and Deep Learning》_chapter4: A visual proof that neural nets can compute any function文章总结(前三章翻译在百度云里) 链接:http://neuralnetworksanddeeplearning.com/chap4.html; Michael Nielsen的《Neural Network and Deep Learning》教程中的第四章主要是证明神经网络可以用来表示任何一...
(1)Neural networks, a beautiful biologically-inspired programming paradigm which enables a computer to learn from observational data 神经网络,一个优秀的生物激励式的程序范例,能使得一台电脑能够从观察样本中不断学习 (2)Deep learning, a powerful set of techniques for learning in neural networks ...
最近花了半个多月把Mchiael Nielsen所写的Neural Networks and Deep Learning这本书看了一遍,受益匪浅。 该书英文原版地址地址:http://neuralnetworksanddeeplearning.com/ 回顾一下这本书主要讲的内容 回到顶部 1.使用神经网络识别手写数字 作者从感知器模型引申到S型神经元。然后再到神经网络的结构。并用一个三...
The NAND example shows that we can use perceptrons to compute simple logical functions. In fact, we can use networks of perceptrons to compute any logical function at all. The reason is that the NAND gate is universal for computation, that is, we can build any computation up out of NAND ...
Deep Learning, book by Ian Goodfellow, Yoshua Bengio, and Aaron Courville cognitivemedium.com By Michael Nielsen / Dec 2019 Neural networks are one of the most beautiful programming paradigms ever invented. In the conventional approach to programming, we tell the computer what to do, breaking bi...