“第十五章 人工神经元网络”版本间的差异
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* 维基百科：沃尔特·皮茨 [http://aigraph.cslt.org/courses/15/Walter_Pitts.pdf] | * 维基百科：沃尔特·皮茨 [http://aigraph.cslt.org/courses/15/Walter_Pitts.pdf] | ||
* 维基百科：人工神经元 [http://aigraph.cslt.org/courses/15/Artificial_neuron.pdf] | * 维基百科：人工神经元 [http://aigraph.cslt.org/courses/15/Artificial_neuron.pdf] | ||
| − | * 维基百科：神经网络 [http://aigraph.cslt.org/courses/ | + | * 维基百科：神经网络 [http://aigraph.cslt.org/courses/14/人工神经网络.pdf][http://aigraph.cslt.org/courses/14/Artificial_neural_network.pdf] |
* 维基百科：Frank_Rosenblatt [http://aigraph.cslt.org/courses/15/Frank_Rosenblatt.pdf] | * 维基百科：Frank_Rosenblatt [http://aigraph.cslt.org/courses/15/Frank_Rosenblatt.pdf] | ||
* 维基百科：Perceptron [http://aigraph.cslt.org/courses/15/Perceptron.pdf] | * 维基百科：Perceptron [http://aigraph.cslt.org/courses/15/Perceptron.pdf] | ||
* 百度百科：感知器[https://baike.baidu.com/item/%E6%84%9F%E7%9F%A5%E5%99%A8/16525448] | * 百度百科：感知器[https://baike.baidu.com/item/%E6%84%9F%E7%9F%A5%E5%99%A8/16525448] | ||
| − | * AI100问：什么是BP算法[http:// | + | * AI100问：什么是BP算法[http://aigraph.cslt.org/ai100/pdf/AI-100-46-%E4%BB%80%E4%B9%88%E6%98%AFBP%E7%AE%97%E6%B3%95.pdf] |
==视频展示== | ==视频展示== | ||
* Deep neural net [http://aigraph.cslt.org/courses/15/deep.mp4] | * Deep neural net [http://aigraph.cslt.org/courses/15/deep.mp4] | ||
| − | * | + | * 图灵的人工神经网络[http://aigraph.cslt.org/courses/15/tnn.mpeg] |
==演示链接== | ==演示链接== | ||
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* Neural Net demo [https://phiresky.github.io/neural-network-demo/] | * Neural Net demo [https://phiresky.github.io/neural-network-demo/] | ||
* Neural Net training demo [http://playground.tensorflow.org/#activation=tanh&batchSize=10&dataset=circle®Dataset=reg-plane&learningRate=0.03®ularizationRate=0&noise=0&networkShape=4,2&seed=0.30169&showTestData=false&discretize=false&percTrainData=50&x=true&y=true&xTimesY=false&xSquared=false&ySquared=false&co] | * Neural Net training demo [http://playground.tensorflow.org/#activation=tanh&batchSize=10&dataset=circle®Dataset=reg-plane&learningRate=0.03®ularizationRate=0&noise=0&networkShape=4,2&seed=0.30169&showTestData=false&discretize=false&percTrainData=50&x=true&y=true&xTimesY=false&xSquared=false&ySquared=false&co] | ||
| − | * Quick draw, and let NN guess [https://quickdraw.withgoogle.com/] | + | * Quick draw, and let NN guess [*][https://quickdraw.withgoogle.com/] |
| − | + | ||
==开发者资源== | ==开发者资源== | ||
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* McCulloch, Warren S.; Pitts, Walter (1943). "A logical calculus of the ideas immanent in nervous activity". Bulletin of Mathematical Biophysics. 5 (4): 115–133.[https://link.springer.com/article/10.1007/BF02478259] | * McCulloch, Warren S.; Pitts, Walter (1943). "A logical calculus of the ideas immanent in nervous activity". Bulletin of Mathematical Biophysics. 5 (4): 115–133.[https://link.springer.com/article/10.1007/BF02478259] | ||
* Turing A. Intelligent machinery (1948)(Turing's neural net) [http://f.javier.io/rep/books/The%20essential%20Turing.%20Seminal%20writings%20in%20computing,%20logic,%20philosophy%20-%20Copeland%20J.%20(2004)(ISBN%200198250800).pdf#page=404] | * Turing A. Intelligent machinery (1948)(Turing's neural net) [http://f.javier.io/rep/books/The%20essential%20Turing.%20Seminal%20writings%20in%20computing,%20logic,%20philosophy%20-%20Copeland%20J.%20(2004)(ISBN%200198250800).pdf#page=404] | ||
| − | * Marvin Minsky and Seymour A. Papert， Perceptrons, [https://mitpress.mit.edu/books/perceptrons] | + | * Marvin Minsky and Seymour A. Papert， Perceptrons, [*][https://mitpress.mit.edu/books/perceptrons] |
| − | * Rumelhart D E, Hinton G E, Williams R J. Learning internal representations by error propagation[R]. California Univ San Diego La Jolla Inst for Cognitive Science, 1985. [ | + | * Rumelhart D E, Hinton G E, Williams R J. Learning internal representations by error propagation[R]. California Univ San Diego La Jolla Inst for Cognitive Science, 1985. [http://www.cs.utoronto.ca/~hinton/absps/pdp8.pdf] |
* Are Neural Nets Turing Equivalent? [https://mailman.srv.cs.cmu.edu/pipermail/connectionists/1990-September/001479.html] | * Are Neural Nets Turing Equivalent? [https://mailman.srv.cs.cmu.edu/pipermail/connectionists/1990-September/001479.html] | ||
* Sarina Grosswald, Is ADHD a Stress-Related Disorder? Why Meditation Can Help. In book: Is ADHD a Stress-Related Disorder? Why Meditation Can Help (pp.22)Chapter: 4Publisher: intech [https://www.researchgate.net/profile/Sarina-Grosswald/publication/263767630_Is_ADHD_a_Stress-Related_Disorder_Why_Meditation_Can_Help/links/0c96053c7d6e799cd3000000/Is-ADHD-a-Stress-Related-Disorder-Why-Meditation-Can-Help.pdf] | * Sarina Grosswald, Is ADHD a Stress-Related Disorder? Why Meditation Can Help. In book: Is ADHD a Stress-Related Disorder? Why Meditation Can Help (pp.22)Chapter: 4Publisher: intech [https://www.researchgate.net/profile/Sarina-Grosswald/publication/263767630_Is_ADHD_a_Stress-Related_Disorder_Why_Meditation_Can_Help/links/0c96053c7d6e799cd3000000/Is-ADHD-a-Stress-Related-Disorder-Why-Meditation-Can-Help.pdf] | ||
2023年8月13日 (日) 01:36的最后版本
教学资料
扩展阅读
- 维基百科：沃伦·麦卡洛克 [4][5]
- 维基百科：沃尔特·皮茨 [6]
- 维基百科：人工神经元 [7]
- 维基百科：神经网络 [8][9]
- 维基百科：Frank_Rosenblatt [10]
- 维基百科：Perceptron [11]
- 百度百科：感知器[12]
- AI100问：什么是BP算法[13]
视频展示
演示链接
开发者资源
高级读者
- McCulloch, Warren S.; Pitts, Walter (1943). "A logical calculus of the ideas immanent in nervous activity". Bulletin of Mathematical Biophysics. 5 (4): 115–133.[22]
- Turing A. Intelligent machinery (1948)(Turing's neural net) [23]
- Marvin Minsky and Seymour A. Papert， Perceptrons, [*][24]
- Rumelhart D E, Hinton G E, Williams R J. Learning internal representations by error propagation[R]. California Univ San Diego La Jolla Inst for Cognitive Science, 1985. [25]
- Are Neural Nets Turing Equivalent? [26]
- Sarina Grosswald, Is ADHD a Stress-Related Disorder? Why Meditation Can Help. In book: Is ADHD a Stress-Related Disorder? Why Meditation Can Help (pp.22)Chapter: 4Publisher: intech [27]
- C. Teuscher. Turing's Connectionism. An Investigation of Neural Network Architectures. Springer-Verlag, London, 2002. ISBN: 1-85233-475-4. [28]
