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Regularization of Contractive Autoencoder is imposed on

Answer» <html><body><p>Hii there</p><p>here is your answer </p><p>Contractive autoencoder is another regularization technique like sparse autoencoders and denoising autoencoders. ... CAE is a better <a href="https://interviewquestions.tuteehub.com/tag/choice-915996" style="font-weight:bold;" target="_blank" title="Click to know more about CHOICE">CHOICE</a> than denoising autoencoder to learn <a href="https://interviewquestions.tuteehub.com/tag/useful-1441152" style="font-weight:bold;" target="_blank" title="Click to know more about USEFUL">USEFUL</a> <a href="https://interviewquestions.tuteehub.com/tag/feature-460078" style="font-weight:bold;" target="_blank" title="Click to know more about FEATURE">FEATURE</a> extraction. Penalty term generates mapping which are strongly contracting the <a href="https://interviewquestions.tuteehub.com/tag/data-25577" style="font-weight:bold;" target="_blank" title="Click to know more about DATA">DATA</a> and hence the name contractive autoencoder.</p><p>Hope it helped <a href="https://interviewquestions.tuteehub.com/tag/u-1435036" style="font-weight:bold;" target="_blank" title="Click to know more about U">U</a> </p><p>plz mark as brianliest </p></body></html>


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