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Deep Learning Intervention for Health Care Challenges: Some Biomedical Domain Considerations
For example, denoising AE was first proposed by Vincent et al [48]. The purpose was to increase the robustness of the regular AE model. The method recreates the input introducing some noise to the patterns, thus forcing the model to capture just the structure of the input. Another variation is the sparse AE that forces the representation to be sparse, which is used to make the data more separable [49].
JMIR Mhealth Uhealth 2019;7(8):e11966
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