Question

________________ works best for Image Data.

Answer 1

The answer is autoencoders.......

Answer 2

Answer:

Autoecncoders work best for image data.

Explanation:

In autoencoders the output which is displayed will be their input. They are used to reconstruct the input.

Autoecncoders are used to apply to reproduce the same input with a different set of data.

It can face a problem like vanishing gradient problem like other neural networks. To recover from the problem variational autoencoder is the best solution.

In variational autoencoders are trained up to the read the probability distribution which are models of input data but not the functions of input and output