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View Code? Open in Web Editor NEWAn implementation of feed-forward phase of deep Convolutional Neural Networks in pure C#
License: Apache License 2.0
An implementation of feed-forward phase of deep Convolutional Neural Networks in pure C#
License: Apache License 2.0
Hi Huseyin,
I just woke up this morning with an idea of how would I filter my photos database (using digital cameras from circa 2001) and only pick images where is my dog. I thought it is gotta be some sort of AI. But I don't like cloud solutions and blackboxes. After a while of googling I found your CeNiN library and the ideas behind this 100% align with my ideas :) Lightweight, yet powerful, and transparent and simple code. Nice! Thing is, since I'm not very Microsoft-oriented developer, it is hard for me to use the DLL from C# or .NET project. A simple and versatile CLI would be nice. Just producing some sort of JSON or XML reports which would be possible to process and feed to any image-tagging tool etc.
Specially the "imagenet-vgg-verydeep-16.cenin" model is giving me promising results.
Thanks, Tom.
PS: I just installed the Intel MKL, and it is incredibly fast! Wow!
Hi Huseyin,
Is it possible that run Conv(use CBLAS=true) on multicore CPUs for increasing speed of run time ?
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