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Introduction: Convolutional Neural Networks for Visual Recognition

Introduction: Convolutional Neural Networks for Visual Recognition. b oris .ginzburg@intel.com. Acknowledgments. This presentation is heavily based on: http ://cs.nyu.edu/~ fergus/pmwiki/pmwiki.php http://deeplearning.net/reading-list/tutorials /

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2.45k views • 45 slides

Lecture 8: Caffe - CPU Optimization

Lecture 8: Caffe - CPU Optimization. boris . ginzburg@intel.com. Agenda. Profiling of application with Vtune Caffe with BLAS Parallelization with OpenMP. Vtune : getting started. Vtune : getting started.

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551 views • 17 slides

Compiling and Using the “best” R

Compiling and Using the “best” R. Vipin Sachdeva IBM Computational Science Division. Improving R performance. Performance improvements: Hardware (Number of cores etc.) Intel quad-core @2.4 Ghz Intel Q6600 Compilers Intel versus GNU Compiler flags (unoptimized versus optimized)

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155 views • 13 slides

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