Deconstruction and perception theories in supervised learning
Keywords:
Deconstruction,, Machine Learning, Supervised Learning, Deep Learning, Neural Network, Data Mining, Theory of Perception, Visual Tricks, Visual Stimulus, Cross-domain Matching Correlation Analysis.Abstract
The images have clear-cut things such as the composition, coloring, and modification of the picture, then defining what the picture is, its pixels, dimensions, and color technology used, moreover machine learning (ML) translates this into his full knowledge of sufficient information about the image and his recognition of it, but, what if the picture was a puzzle since 1892. Specifically, the rabbit and the duck was "Kaninchen und Ente" from the 23 October 1892 publication by the magazine Fliegende Blätter under a question entitled ("Which animals resemble each other the most?") with the words "rabbit and duck" written underneath[1]. It will take - crucially - to dismantle the science of machine learning, the sub-section of artificial intelligence that is the broader gateway to the deep learning process to solve the mystery of the Rabbit-Duck Illusion [2].
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