Essays about: "Flerlagersperceptron"

Found 4 essays containing the word Flerlagersperceptron.

1. 1. Recommending digital books to children : Acomparative study of different state-of-the-art recommendation system techniques

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Malvin Lundqvist; [2023]
   Keywords : Recommendation Systems; Collaborative Filtering; Matrix Factorization; Multi-Layer Perceptron; Neural Network-based Collaborative Filtering; Implicit Feedback; Deep Learning; Term Frequency-Inverse Document Frequency; Rekommendationssystem; Kollaborativ filtrering; Matrisfaktorisering; Flerlagersperceptron; Neurala nätverksbaserad kollaborativ filtrering; Implicit data; Djupinlärning; Termfrekvens med omvänd dokumentfrekvens;

   Abstract : Collaborative filtering is a popular technique to use behavior data in the form of user’s interactions with, or ratings of, items in a system to provide personalized recommendations of items to the user. This study compares three different state-of-the-art Recommendation System models that implement this technique, Matrix Factorization, Multi-layer Perceptron and Neural Matrix Factorization, using behavior data from a digital book platform for children. READ MORE

3. 2. Evaluation of machine learning algorithms for customer demand prediction of in-flight meals

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Matteus Hast; [2019]
   Keywords : ;

   Abstract : This study aims to evaluate multiple Machine Learning Algorithms (MLAs) for estimating the customer demand of in-flight meals. As a result of the review of related works, four MLAs were selected, namely Linear Regression (LR), Support Vector Regression (SVR), Extreme Gradient Boosting (XGBoost) and a Multilayer Perceptron Neural Network (MLP). READ MORE

4. 3. The Effect of Batch Normalization on Deep Convolutional Neural Networks

   University essay from KTH/Centrum för Autonoma System, CAS

   Author : Fabian Schilling; [2016]
   Keywords : batch normalization; deep learning; convolutional neural network;

   Abstract : Batch normalization is a recently popularized method for accelerating the training of deep feed-forward neural networks. Apart from speed improvements, the technique reportedly enables the use of higher learning rates, less careful parameter initialization, and saturating nonlinearities. READ MORE

5. 4. Classification of Electroencephalographic SignalsFor Brain-Computer Interface

   University essay from KTH/Skolan för datavetenskap och kommunikation (CSC)

   Author : RICHARD NORDSTRÖM; ANNIKA TÄNGMARK; [2013]
   Keywords : ;

   Abstract : Brain-Computer Interface (BCI) can be used for example to help disabled people to control a computer without the use of mouse or keyboard. The brain signals beta and mu are acquired by electroencephalography (EEG) and shows what parts of the brain that are active not only at the performing of a muscular movement, but also by thinking about it. READ MORE