Add to ORKGHonors (Bachelor's)Computer ScienceMathematicsUniversity of Michiganhttp://deepblue.lib.umich.edu/bitstream/2027.42/120623/1/tangyihe.pd
The activity that led to this thesis is developed as part of the NFFA-EUROPE project and is funded b...
Machine learning algorithms have opened up countless doors for scientists tackling problems that had...
Indiana University-Purdue University Indianapolis (IUPUI)In recent years, Convolutional Neural Netwo...
We present a method for boosting the performance of the Convolutional Neural Network (CNN) by reduci...
Convolutional Neural Networks (CNNs) trained through backpropagation are central to several, competi...
This Major Qualifying Project is an open source supervised machine learning neural network software ...
Convolutional neural networks (CNNs) have dominated the computer vision field since the early 2010s,...
The work in this dissertation was done as a major shift in machine perception and deep learning rese...
Convolutional Neural Networks (CNNs) are biologically inspired feed forward artificial neural networ...
The main objective of an Artificial Vision Algorithm is to design a mapping function that takes an i...
Modern machine learning techniques focus on extremely deep and multi-pathed networks, resulting in l...
Master's thesis in Information- and communication technology (IKT590)Deep convolutional neural netwo...
Thesis (Master of Science in Informatics)--University of Tsukuba, no. 36020, 2016.3.25201
This thesis does not assume the reader is familiar with artificial neural networks. However, to keep...
The thesis focuses on the following two topics: designing energy-efficient neural networks and hash...
The activity that led to this thesis is developed as part of the NFFA-EUROPE project and is funded b...
Machine learning algorithms have opened up countless doors for scientists tackling problems that had...
Indiana University-Purdue University Indianapolis (IUPUI)In recent years, Convolutional Neural Netwo...
We present a method for boosting the performance of the Convolutional Neural Network (CNN) by reduci...
Convolutional Neural Networks (CNNs) trained through backpropagation are central to several, competi...
This Major Qualifying Project is an open source supervised machine learning neural network software ...
Convolutional neural networks (CNNs) have dominated the computer vision field since the early 2010s,...
The work in this dissertation was done as a major shift in machine perception and deep learning rese...
Convolutional Neural Networks (CNNs) are biologically inspired feed forward artificial neural networ...
The main objective of an Artificial Vision Algorithm is to design a mapping function that takes an i...
Modern machine learning techniques focus on extremely deep and multi-pathed networks, resulting in l...
Master's thesis in Information- and communication technology (IKT590)Deep convolutional neural netwo...
Thesis (Master of Science in Informatics)--University of Tsukuba, no. 36020, 2016.3.25201
This thesis does not assume the reader is familiar with artificial neural networks. However, to keep...
The thesis focuses on the following two topics: designing energy-efficient neural networks and hash...
The activity that led to this thesis is developed as part of the NFFA-EUROPE project and is funded b...
Machine learning algorithms have opened up countless doors for scientists tackling problems that had...
Indiana University-Purdue University Indianapolis (IUPUI)In recent years, Convolutional Neural Netwo...