Journal Press India^®

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The importance of deep learning has been emphasized for dream interpretation. A framework based on deep learning is provided which can be utilized by dream analysts for interpretation of dreams in consultation with the dreamer. The novelty and utility of this framework is also proved by providing supporting facts. The framework is limited by its capability to provide the details of the events of dream that have not occurred. Also the concerns related to the usage of computational model for implementation of framework have been highlighted.

Keywords

Deep Learning; Dream Interpretation; REM Slee; NREM Slee;, Framework for Dream Interpretation; Perceptron Layers.

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