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https://rdipietro.github.io/friendly-intro-to-cross-entropy-loss/ 【将输入转化为输出：概率分布】 When we develop a model for probabilistic classification, we aim to 阅读全文
posted @ 2017-09-26 21:00
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https://en.wikipedia.org/wiki/Claude_Shannon In 1948, the promised memorandum appeared as "A Mathematical Theory of Communication," an article in two 阅读全文
posted @ 2017-09-26 19:48
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http://cs231n.github.io/linear-classify/ 阅读全文
posted @ 2017-09-26 19:23
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every row of W is a classifier for one of the classes As we saw above, every row of W is a classifier for one of the classes. The geometric interpreta 阅读全文
posted @ 2017-09-26 16:18
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The hinge loss is a convex function, so many of the usual convex optimizers used in machine learning can work with it. It is not differentiable, but h 阅读全文
posted @ 2017-09-26 15:42
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http://www1.inf.tu-dresden.de/~ds24/lehre/ml_ws_2013/ml_11_hinge.pdf Two extremes: • Big 𝐶 → the loss is more important → better recognition rate but 阅读全文
posted @ 2017-09-26 15:35
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图灵的基本思想 图灵的基本思想是用机器来模拟人们用纸笔进行数学运算的过程，他把这样的过程看作下列两种简单的动作： 在纸上写上或擦除某个符号； 把注意力从纸的一处移动到另一处； 而在每个阶段，人要决定下一步的动作，依赖于（a）此人当前所关注的纸上某个位置的符号和（b）此人当前思维的状态。 在可计算性理 阅读全文
posted @ 2017-09-26 14:04
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crf 阅读全文
posted @ 2017-09-26 12:17
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http://mathworld.wolfram.com/FrobeniusNorm.html 阅读全文
posted @ 2017-09-26 10:49
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https://en.wikipedia.org/wiki/Norm_(mathematics) http://cs231n.github.io/classification/ 阅读全文
posted @ 2017-09-26 10:23
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