Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 3 of 3 for “"deep convolutional network"”.
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Biologically plausible energy-efficient context-sensitive neural networks
… in artificial intelligence (AI), particularly in deep neural networks (DNNs), have significantly driven the demand for specialised hardware, such as GPUs and TPUs, to meet the growing computational requirements. However, this surge in computational power has led to substantial increases in energy …
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Deep learning framework bridges lab and field scale microseismic focal mechanism
… of these field microseismic waveform data. Deep learning has shown increasing potential in signal processing and data mining, where the term deep refers to its numerous tunable parameters, and learning characterizes the optimization of these parameters. Here, a framework is proposed to …
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The Deep Rendering Model: Bridging Theory and Practice in Deep Learning
… in speech recognition. Recently, a new breed of deep learning algorithms has emerged for high-nuisance inference tasks; they are constructed from many layers of alternating linear and nonlinear processing units and are trained using large-scale algorithms and massive amounts of training data. The …