Essays about: "deep belief networks"

Showing result 1 - 5 of 9 essays containing the words deep belief networks.

  1. 1. Investigating Machine Learning for verification of AMBA APB protocol.

    University essay from Lunds universitet/Institutionen för elektro- och informationsteknik

    Author : Abhiram Srisai Kishore; Mohammed Wasim; [2022]
    Keywords : Machine learning; SOC Verification; AMBA; Neural Networks; Deep Learning; Assertions.; Technology and Engineering;

    Abstract : It is a well-known fact that in any Application Specific Integrated Circuit (ASIC) design, verification consumes most time and resources. And when it comes to huge designs, finding bugs can be tedious given the area and the complexity. As per Moore’s law, the design complexity is increasing exponentially due to the growing demand for performance. READ MORE

  3. 2. Modeling an Embedded Climate System Using Machine Learning

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

    Author : Alexandra Josefsson; [2021]
    Keywords : Machine Learning; Deep Belief Network; Control System; Climate System; PID controller; Maskininlärning; Reglersystem; Klimatsystem; PID-regulator;

    Abstract : Recent advancements in processing power, storage capabilities, and availability of data, has led to improvements in many applications through the use of machine learning. Using machine learning in control systems was first suggested in the 1990s, but is more recently being implemented. READ MORE

  4. 3. Group Invariant Convolutional Boltzmann Machines

    University essay from Göteborgs universitet/Institutionen för matematiska vetenskaper

    Author : Maria Lindström; [2020-12-04]
    Keywords : Convolutional Boltzmann Machines; Convolutional neural networks; artificial neural networks; machine learning; group invariance; group equivariance;

    Abstract : We investigate group invariance in unsupervised learning in the context of certain generative networks based on Boltzmann machines. Specifically, we introduce a generalization of restricted Boltzmann machines which is adapted to input data that is acted upon by any compact group G. READ MORE

  5. 4. Graph Neural Networks and Learned Approximate Message Passing Algorithms for Massive MIMO Detection

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

    Author : Andrea Scotti; [2020]
    Keywords : ;

    Abstract : Massive multiple-input and multiple-output (MIMO) is a method to improvethe performance of wireless communication systems by having a large numberof antennas at both the transmitter and the receiver. In the fifth-generation(5G) mobile communication system, Massive MIMO is a key technology toface the increasing number of mobile users and satisfy user demands. READ MORE

  6. 5. Deep Active Learning for Short-Text Classification

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

    Author : Wenquan Zhao; [2017]
    Keywords : Active Learning; Deep Learning; Text Classification;

    Abstract : In this paper, we propose a novel active learning algorithm for short-text (Chinese) classification applied to a deep learning architecture. This topic thus belongs to a cross research area between active learning and deep learning. READ MORE