Deep learning models of biological visual information processing

Deep learning models of biological visual information processing

Improved computational models of biological vision can shed light on key processes contributing to the high accuracy of the human visual system. Deep learning models, which extract multiple layers of increasingly complex features from data, achieved recent breakthroughs on visual tasks. This thesis...

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Bibliographic Details
Main Author: Turcsány, Diána
Format: Thesis (University of Nottingham only)
Language:English
Published: 2016
Subjects:
deep learning
machine learning
visual information processing
biological vision
retinal modelling
neural computation
local receptive field constrained restricted Boltzmann machine
deep neural network
deep belief network
deep autoencoder
feature hub
self-adaptive structure
structure learning
face completion
Online Access:https://eprints.nottingham.ac.uk/35561/

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