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Jayant Agrawal, … ngc...@gmail.com5

12/3/18

Use a Pre-trained Network(1 branch) to initialize weights of layers in a Network with 2 branches

Hi, Is there a quick way to enable / disable weights sharing? What I know is to name the weights

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Use a Pre-trained Network(1 branch) to initialize weights of layers in a Network with 2 branches

Hi, Is there a quick way to enable / disable weights sharing? What I know is to name the weights

12/3/18

blackli...@gmail.com

12/3/16

how to make full use of the cpu when running a multithreaded program on multi core

I am testing the recognition speed with caffe on the ubuntu .there is the result. computer or server

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how to make full use of the cpu when running a multithreaded program on multi core

I am testing the recognition speed with caffe on the ubuntu .there is the result. computer or server

12/3/16

10/9/16

finetune networks from multi pre-trained models

I answer it by myself. --weight A.caffemodel,B.caffemodel

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finetune networks from multi pre-trained models

I answer it by myself. --weight A.caffemodel,B.caffemodel

10/9/16

5/26/16

Another topic about multi-label

I've found this net for multi-label classification. It looks perfect for my problem, but it seems

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Another topic about multi-label

I've found this net for multi-label classification. It looks perfect for my problem, but it seems

5/26/16

Haeyong Kang, Zhao.Kai2

12/10/15

howto fine-tune multi models?

Hey, You can construct multi-nets and then copy the weights manually to your destination model, here

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howto fine-tune multi models?

Hey, You can construct multi-nets and then copy the weights manually to your destination model, here

12/10/15

10/13/15

Problems with lmdb when there're multiple inputs of image and corresponding labels of different size

It's weird that sometimes the mean of label blob is right, sometimes it's wrong. What's

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Problems with lmdb when there're multiple inputs of image and corresponding labels of different size

It's weird that sometimes the mean of label blob is right, sometimes it's wrong. What's

10/13/15

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