Deep Learning 面试题与答案
Question: Explain the concept of one-hot encoding and its use in machine learning.Answer: One-hot encoding is a technique to represent categorical variables as binary vectors. Each category is represented by a unique binary value, with all zeros except for the index corresponding to the category, which is set to one. It is commonly used in tasks like natural language processing. |
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