You are working with a denoising autoencoder. Which types of images does this take as input for training? Instruction: Choose the option that best answers the question. A set of high-quality example images, which are used to generate new images of those objects Images with Gaussian noise added to them, from which high-quality images must be generated A small, example part of an image that it must train to generate It does not take in images - it takes in vectors describing the broad features of an image
You are working with a denoising autoencoder. Which types of images does this take as input for training? Instruction: Choose the option that best answers the question. A set of high-quality example images, which are used to generate new images of those objects Images with Gaussian noise added to them, from which high-quality images must be generated A small, example part of an image that it must train to generate It does not take in images - it takes in vectors describing the broad features of an image
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Transcribed Image Text:You are working with a denoising autoencoder. Which types of images does this take as input for training?
Instruction: Choose the option that best answers the question.
A set of high-quality example images, which are used to generate new images of those objects
Images with Gaussian noise added to them, from which high-quality images must be generated
A small, example part of an image that it must train to generate
It does not take in images - it takes in vectors describing the broad features of an image
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