Deep Learning Interviewfragen und Antworten
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. |
Zum Wiederholen speichern
Speichere diesen Eintrag als Lesezeichen, markiere ihn als schwierig oder lege ihn in einem Wiederholungsset ab.
Melde dich an, um Lesezeichen, schwierige Fragen und Wiederholungssets zu speichern.
Ist das hilfreich? Ja Nein
Am hilfreichsten laut Nutzern:
- Explain the purpose of an activation function in a neural network.
- What is transfer learning, and how is it used in deep learning?
- What is a convolutional neural network (CNN), and how is it different from a fully connected neural network?