Autoencoders are trained without supervision.

DWQA QuestionsCategory: QuestionsAutoencoders are trained without supervision.
Editor Staff asked 2 months ago

Autoencoders are trained without supervision.
i) True
ii) False

1 Answers
Editor Staff answered 2 months ago

Autoencoder is an unsupervised artificial neural network that learns how to efficiently compress and encode data then learns how to reconstruct the data back from the reduced encoded representation to a representation that is as close to the original input as possible. Autoencoders are trained without supervision.
Autoencoder, by design, reduces data dimensions by learning how to ignore the noise in the data.
The network architecture for autoencoders can vary between a simple FeedForward network, LSTM network or Convolutional Neural Network depending on the use case. We will explore some of those architectures in the new next few lines.