Essays about: "sequential training"

Showing result 16 - 20 of 40 essays containing the words sequential training.

  1. 16. Exploiting Leap Motion and Microsoft Kinect Sensors for Static and Dynamic Sign Gesture Recognition

    University essay from Luleå tekniska universitet/Institutionen för system- och rymdteknik

    Author : Sumit Rakesh; [2021]
    Keywords : ;

    Abstract : One of the primary ways of communication between humans is verbal communication. Among hearing-impaired persons, the traditional way of communication is through sign language. Sign gestures are the atomic actions used in sign language for non-verbal communication. READ MORE

  3. 17. Knowledge Transfer Applied on an Anomaly Detection Problem Using Financial Data

    University essay from Uppsala universitet/Avdelningen för systemteknik

    Author : Filip Natvig; [2021]
    Keywords : Machine learning; Deep learning; Artificial intelligence; AI; Neural networks; Anomaly detection; Transfer learning; Knowledge transfer; LSTM Autoencoder;

    Abstract : Anomaly detection in high-dimensional financial transaction data is challenging and resource-intensive, particularly when the dataset is unlabeled. Sometimes, one can alleviate the computational cost and improve the results by utilizing a pre-trained model, provided that the features learned from the pre-training are useful for learning the second task. READ MORE

  4. 18. Exploring Transformer-Based Contextual Knowledge Graph Embeddings : How the Design of the Attention Mask and the Input Structure Affect Learning in Transformer Models

    University essay from Linköpings universitet/Artificiell intelligens och integrerade datorsystem

    Author : Oskar Holmström; [2021]
    Keywords : Knowledge Graph; Knowledge Graph Embedding; Embedding; Transformer model; BERT; Attention mask;

    Abstract : The availability and use of knowledge graphs have become commonplace as a compact storage of information and for lookup of facts. However, the discrete representation makes the knowledge graph unavailable for tasks that need a continuous representation, such as predicting relationships between entities, where the most probable relationship needs to be found. READ MORE

  5. 19. Effects of Network Size in a Recurrent Bayesian Confidence Propagating Neural Network With two Synaptic Traces

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

    Author : William Laius Lundgren; Ludwig Karlsson; [2021]
    Keywords : BCPNN; computational brain modelling; shortterm memory; sequential learning; hypercolumns;

    Abstract : A modular Recurrent Bayesian Confidence PropagatingNeural Networks (BCPNN) with two synaptic time tracesis a computational neural network that can serve as a modelof biological short term memory. The units in the network aregrouped into modules called hypercolumns within which there isa competitive winner-takes-all mechanism. READ MORE

  6. 20. Music generation using tracker music and machine learning

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

    Author : Björn Lindqvist; [2021]
    Keywords : ;

    Abstract : We investigate the modelling of polyphonic “tracker music” using deep neural networks. Tracker music is a music storage format invented in the late 1980s for use on that time’s home computers and is often used for storing synthesized electronic music. READ MORE