Essays about: "Multilayer Perceptrons"
Showing result 1 - 5 of 12 essays containing the words Multilayer Perceptrons.
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1. Link Prediction Using Learnable Topology Augmentation
University essay from KTH/Matematik (Avd.)Abstract : Link prediction is a crucial task in many downstream applications of graph machine learning. Graph Neural Networks (GNNs) are a prominent approach for transductive link prediction, where the aim is to predict missing links or connections only within the existing nodes of a given graph. READ MORE
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2. Expanding multilayer perceptrons with a brain inspired activation algorithm : Experimental comparison of the performance of an activation enhanced multi layer perceptron
University essay from Högskolan i Skövde/Institutionen för informationsteknologiAbstract : Machine learning is a field that is inspired by how humans and, by extension, the brain learns.The brain consists of a biological neural network that has neurons that are either active or inactive. Modern-day artificial intelligence is loosely based on how biological neural networks function. READ MORE
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3. Deep Learning models for turbulent shear flow
University essay from KTH/Numerisk analys, NAAbstract : Deep neural networks trained with spatio-temporal evolution of a dynamical system may be regarded as an empirical alternative to conventional models using differential equations. In this thesis, such deep learning models are constructed for the problem of turbulent shear flow. READ MORE
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4. Automatic Classification of text regarding Child Sexual Abusive Material
University essay from Uppsala universitet/Avdelningen för systemteknikAbstract : Sexual abuse is a horrible reality for many children around the world. As technology improves the availability of encryption schemes and anonymity over the internet, the perpetrators of these acts are increasingly hard to track. READ MORE
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5. Forecasting Stock Index using Deep Learning and how it can be applied in the financial sector
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : The idea of predicting the stock market has existed for hundreds of years. From the pre-industrial age of japan investors used candlestick patterns to predict the movement of rice prices, to the modern age of high frequency robot traders. READ MORE