Question

Autoencoders cannot be used for dimensionality reduction

Answer 1

Please find the answer below:

The statement that; "Autoencoders cannot be used for dimensionality reduction " is false.

This is so because, autocoders are made of encoder and decoder. The encoder aims to compress the original input data into a low-dimensional representation and the decoder tries to reconstruct the original input data based on the low-dimension representation generated by the encoder.

Hence, the autoencoder is used massively to remove the data noise as well to reduce the data dimension.

Answer 2

Explanation:

The statement that; "Autoencoders cannot be used for dimensionality reduction " is false.

Hence, the autoencoder is used massively to remove the data noise as well to reduce the data dimension.