Tag：Information entropy
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Information entropy and conditional entropy
introduction Today, I suddenly saw the term “information entropy” when I was browsing the paper. I remembered it with a snap. Soon!! Isn’t this the first professional term I talked about in the first introduction to information resource management in my freshman year? I’m familiar with information entropy. I’ll come soon. Information entropy is negative […]
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[interview AI] No.11 entropy, joint entropy, conditional entropy, KL divergence, mutual information definition
Entropy is used to measure the disorder degree of a thermodynamic system in physics. The expression is △ s = q / T, where q is the heat absorbed or released and t is the temperature. In the computer field, it is defined as the probability of discrete random events. The more ordered a system […]
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The actual combat of NLP text representation
In the last article, we introduced the text representation of NLP https://blog.csdn.net/Prepare… But there is no code. In this blog, we are practicing! The common models of Chinese word segmentation are as followsJiebaModel, baidu lac model, here useJiebaThe model is used for Chinese word segmentation. Data set use: the data of people’s daily in May […]
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Partial understanding of entropy, relative entropy and cross entropy
Entropy was first proposed by Rudolf Julius Emanuel Clausius, a German physicist and the main founder of thermodynamics. It is defined as the rate of change of input heat relative to temperature in the reversible process, that is $$dS = \frac {dQ}{T}$$The above representation is quite different from the information entropy we know today, because […]