What could dissertation topic related to deep learning?
The deep learning approach to machine learning emphasizes high-capacity, scalable models that learn distributed representations of their input. This dissertation demonstrates the e cacy and generality of this approach in a series of diverse case studies in speech recognition, computational chemistry, and natural language processing. Throughout.
This dissertation posits that deep learning models designed to better match the structure of music can generate, recommend and provide control in the creative process, making music composition more accessible. I describe four projects to support this statement. AdaptiveKnobs (Huang et al., 2014) uses Gaussian Processes to capture the nonlinear multimodal relationship between low-level sound.
There exists some research in the area of machine learning and animated cartoons, however this research does not include any deep learning methods. Nevertheless, Wang, Raj, and Xing ( 2017 ) mentions that manifold learning is a popular machine learning technique for animated cartoons and maintains a close relationship with animation research ( 2017, 3).
This dissertation introduces two novel deep learning architectures, that address these limitations. Both provide intermediate hints to aid deep learning models. The first deep learning architecture is constructed based on stacked autoencoders with an additional layer, called a hyperlayer. The hyperlayer is an intermediate hint that captures image features at different scales. The second.
Informatics thesis and dissertation collection. Browse By. By Issue Date Authors Titles Subjects Publication Type Sponsor. Search within this Collection: Go The School of Informatics brings together research in Computer Science, Cognitive Science, Computational Linguistics and Artificial Intelligence. It provides a fertile environment for a wide range of interdisciplinary studies, leading to.
USING DEEP LEARNING (on glaze paper) A DISSERTATION Submitted in partial fulfilment of the requirements for the award of the degree of MASTER OF TECHNOLOGY in ADVANCE COMPUTING AND DATA SCIENCE By.
Machine learning, especially its subfield of Deep Learning, had many amazing advances in the recent years, and important research papers may lead to breakthroughs in technology that get used by billio ns of people. The research in this field is developing very quickly and to help our readers monitor the progress we present the list of most important recent scientific papers published since 2014.