Which of the following statements is true regarding autoencoders?A) Autoencoders are a supervised learning technique.B) Autoencoders output is exactly the same as the input.*a) Both the statements A and B are trueb) Statement A is true, but statement B is false.c) Statement A is false, but statement B is true.d) Both the statements are false.
Question
Which of the following statements is true regarding autoencoders?A) Autoencoders are a supervised learning technique.B) Autoencoders output is exactly the same as the input.*a) Both the statements A and B are trueb) Statement A is true, but statement B is false.c) Statement A is false, but statement B is true.d) Both the statements are false.
Solution
The correct answer is c) Statement A is false, but statement B is true.
Explanation:
A) Autoencoders are not a supervised learning technique. They are a type of artificial neural network used for learning efficient codings of input data, typically for the purpose of dimensionality reduction. They are an unsupervised learning technique.
B) The output of an autoencoder is not exactly the same as the input. The goal of an autoencoder is to create a compressed representation of the input data, and then to reconstruct the input data as closely as possible. This reconstruction will be a close approximation of the original input, but not exactly the same.
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