Add to ORKGThe thesis focuses on the following two topics: designing energy-efficient neural networks and hashing approach to make deep learning more feasible to real applications; deep convolutional neural networks for visual recognition.Thesis (Ph.D.) (Research by Publication) -- University of Adelaide, School of Computer Science, 201
Deep neural networks have become increasingly popular under the name of deep learning recently due t...
The main objective of an Artificial Vision Algorithm is to design a mapping function that takes an i...
In recent years, Deep Learning techniques have shown to perform well on a large variety of problems ...
The work in this dissertation was done as a major shift in machine perception and deep learning rese...
Computer vision is a research field that aims to automate the procedure of gaining abstract understa...
Deep Neural Networks as a means of objects detection and recognition is an active area of research a...
Thesis (Ph.D.)--University of Washington, 2021Efficient hardware, increased computational power, an...
Over the last decade, artificial neural networks, especially deep neural networks, have emerged as t...
Artificial intelligence has been a field of interest in the scientific community since the 20th cent...
This thesis presents the work done in the area of semi-supervised learning, label noise, and budgete...
This thesis report is submitted in partial fulfillment of the requirements for the degree of Bachelo...
Deep learning has proved to be successful for many computer vision and natural language processing a...
Deep neural networks have been successful in many areas, some of them even surpass human performance...
Deep neural networks have recently gained popularity for improv- ing state-of-the-art machine learn...
In the last two decades, deep learning, an area of machine learning has made exponential progress an...
Deep neural networks have become increasingly popular under the name of deep learning recently due t...
The main objective of an Artificial Vision Algorithm is to design a mapping function that takes an i...
In recent years, Deep Learning techniques have shown to perform well on a large variety of problems ...
The work in this dissertation was done as a major shift in machine perception and deep learning rese...
Computer vision is a research field that aims to automate the procedure of gaining abstract understa...
Deep Neural Networks as a means of objects detection and recognition is an active area of research a...
Thesis (Ph.D.)--University of Washington, 2021Efficient hardware, increased computational power, an...
Over the last decade, artificial neural networks, especially deep neural networks, have emerged as t...
Artificial intelligence has been a field of interest in the scientific community since the 20th cent...
This thesis presents the work done in the area of semi-supervised learning, label noise, and budgete...
This thesis report is submitted in partial fulfillment of the requirements for the degree of Bachelo...
Deep learning has proved to be successful for many computer vision and natural language processing a...
Deep neural networks have been successful in many areas, some of them even surpass human performance...
Deep neural networks have recently gained popularity for improv- ing state-of-the-art machine learn...
In the last two decades, deep learning, an area of machine learning has made exponential progress an...
Deep neural networks have become increasingly popular under the name of deep learning recently due t...
The main objective of an Artificial Vision Algorithm is to design a mapping function that takes an i...
In recent years, Deep Learning techniques have shown to perform well on a large variety of problems ...