intuition - What is perplexity? - Cross Validated I came across term perplexity which refers to the log-averaged inverse probability on unseen data Wikipedia article on perplexity does not give an intuitive meaning for the same This perplexity
求通俗解释NLP里的perplexity是什么？ - 知乎 困惑度 Perplexity 是衡量语言模型好坏的指标，为了更好地理解其意义，首先有必要回顾熵的概念。 根据信息论与编码的知识，我们知道 熵代表着根据信息的概率分布对其编码所需要的最短平均编码长度。 Entropy 假设离散随机变量 X X 概率分布为 P (x 1) = 1 P (x 2) = 0
Codebook Perplexity in VQ-VAE - Cross Validated For example, lower perplexity indicates a better language model in general cases The questions are (1) What exactly are we measuring when we calculate the codebook perplexity in VQ models? (2) Why would we want to have large codebook perplexity? What is the ideal perplexity for VQ models? Sorry if my questions are unclear
clustering - Why does larger perplexity tend to produce clearer . . . Why does larger perplexity tend to produce clearer clusters in t-SNE? By reading the original paper, I learned that the perplexity in t-SNE is $2$ to the power of Shannon entropy of the conditional distribution induced by a data point