Learning Transferable Data Representations Using Deep Generative Models

Learning Transferable Data Representations Using Deep Generative Models

abstract: Machine learning models convert raw data in the form of video, images, audio, text, etc. into feature representations that are convenient for computational process- ing. Deep neural networks have proven to be very efficient feature extractors for a variety of machine learning tasks. Gen...

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Bibliographic Details
Other Authors: Eusebio, Jose Miguel Ang (Author)
Format: Dissertation
Language:English
Published: 2018
Subjects:
Computer science
Deep Learning
Domain Adaptation
Generative Models
Machine Learning
Transfer Learning
Online Access:http://hdl.handle.net/2286/R.I.49287

Internet

http://hdl.handle.net/2286/R.I.49287

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