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Structured matrices for deep learning.
(ii) Towards a generalization theory for deep learning.
The computations required for deep learning run relatively inefficiently on general-purpose computer chips.
Ching, T. et al. Opportunities and obstacles for deep learning in biology and medicine.
Qualcomm is introducing software tools to help customers use its mobile chips for deep learning.
This work presents the open-source NiftyNet platform for deep learning in medical imaging.
The optimal parameters for deep learning techniques are chosen by conducting various trails of experiments.
His Ph.D. research focused on architecture design and hardware implementation for deep learning accelerators.
Powell added that drug discovery would likely be another big area for deep learning in the future.
He declined to discuss whether the company is planning to build support for deep learning into its chips.
In this paper, we designed a smart in-car camera system that utilizes mobile cloud computing framework for deep learning.
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