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xunle...@gmail.com

10/9/18

The CaffeNet was trained by using ILSVRC2012, Should I test it with ILSVRC2010 test set?

Hi, The CaffeNet was trained by using ILSVRC2012, Should I test it with ILSVRC2010 test set? How do I

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The CaffeNet was trained by using ILSVRC2012, Should I test it with ILSVRC2010 test set?

Hi, The CaffeNet was trained by using ILSVRC2012, Should I test it with ILSVRC2010 test set? How do I

10/9/18

Carlo Alessi, Przemek D2

3/2/17

Unexpected results after finetuning bvlc_reference_model

1. The last fc layer performs the final classification, ie. contains empirical knowledge about the

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fully-connected

Unexpected results after finetuning bvlc_reference_model

1. The last fc layer performs the final classification, ie. contains empirical knowledge about the

3/2/17

Aleksander Kużel2

2/12/17

Model for simple and small images

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Model for simple and small images

2/12/17

2/3/17

Adding fully connected layer to existing CaffeNet or Zeiler-Fergus Network

When I add fully connected layer to existing CaffeNet (8 layers)/ ZF Net (8 layers), and train using

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Adding fully connected layer to existing CaffeNet or Zeiler-Fergus Network

When I add fully connected layer to existing CaffeNet (8 layers)/ ZF Net (8 layers), and train using

2/3/17

Sharp Weapon, Lemma2

11/6/16

Training error and validation error are the same - zero accuracy during training

Hi, It seem you are using high lr_base, and opened the layers wight learning into high learning.

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Training error and validation error are the same - zero accuracy during training

Hi, It seem you are using high lr_base, and opened the layers wight learning into high learning.

11/6/16

Jumabek Alikhanov

9/10/16

Please share bvlc_reference_caffenet training loss curve

Hi, I am training variant of bvlc_reference_caffenet model, However, I am getting only 50% accuracy (

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caffe-reference

Please share bvlc_reference_caffenet training loss curve

Hi, I am training variant of bvlc_reference_caffenet model, However, I am getting only 50% accuracy (

9/10/16

8/27/16

Training a Regression Model in Caffe

Hi all, I'm trying to train a regression model by changing the final FC layer of a BVLC CaffeNet

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Training a Regression Model in Caffe

Hi all, I'm trying to train a regression model by changing the final FC layer of a BVLC CaffeNet

8/27/16

7/6/16

Overfitting problem on a small dataset. What should I do?

net: "testWithCaffeNet/train_val.prototxt" test_iter: 100 # was 1000 test_interval: 100

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Overfitting problem on a small dataset. What should I do?

net: "testWithCaffeNet/train_val.prototxt" test_iter: 100 # was 1000 test_interval: 100

7/6/16

Paul McElroy, Hossein Hasanpour3

6/10/16

Augmenting the Caffe ImageNet Tutorial to Train on Custom Data

So I'd want the "ImageNet LSVRC 2012 Training Set (Object Detection)" file that's

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Augmenting the Caffe ImageNet Tutorial to Train on Custom Data

So I'd want the "ImageNet LSVRC 2012 Training Set (Object Detection)" file that's

6/10/16

Doron Shuldiner, bennyco...@gmail.com2

5/19/16

CPU computation time vs. batch size, almost linear with slope=1 ?

Hi, Check your Blast/Openblast etc' optimization, בתאריך יום חמישי, 19 במאי 2016 בשעה 15:50:55

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CPU computation time vs. batch size, almost linear with slope=1 ?

Hi, Check your Blast/Openblast etc' optimization, בתאריך יום חמישי, 19 במאי 2016 בשעה 15:50:55

5/19/16

4/13/16

Training own image datasets using caffenet

I want to train my own image datasets using caffenet(caffe imagenet example). Caffenet uses 256*256

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Training own image datasets using caffenet

I want to train my own image datasets using caffenet(caffe imagenet example). Caffenet uses 256*256

4/13/16

Pramita Winata, Jan C Peters6

2/5/16

extracting feature produce no error eventhough the model and the inputs have different dimension

Ok, I did not know that use the ImageDataLayer, which is responsible for the channel replication. The

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feature-extraction

extracting feature produce no error eventhough the model and the inputs have different dimension

Ok, I did not know that use the ImageDataLayer, which is responsible for the channel replication. The

2/5/16

신동화, Jan C Peters2

1/19/16

error caffe train on caffenet for mammography classification(very long log)

the last ~10 lines of the log would have sufficed to see the error. caffe tries to open an lmdb

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error caffe train on caffenet for mammography classification(very long log)

the last ~10 lines of the log would have sufficed to see the error. caffe tries to open an lmdb

1/19/16

Zahra Aminolroaya

12/11/15

using googleNet instead of caffeNet

I used this link to test my images with pretrained models. I want to use googleNet instead of

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using googleNet instead of caffeNet

I used this link to test my images with pretrained models. I want to use googleNet instead of

12/11/15

Saif Ahmed, Vaidyanath Venkitasubramanian2

12/7/15

Pointing Caffe Train to train_val

solver.prototxt has the path to the train_val.prototxt file. This is the first line of my solver.

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Pointing Caffe Train to train_val

solver.prototxt has the path to the train_val.prototxt file. This is the first line of my solver.

12/7/15

9/6/15

Implementation of OverFeat for Object detection

Dear All, I am trying to implement Object detection using OverFeat as discussed in thees two papers

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Implementation of OverFeat for Object detection

Dear All, I am trying to implement Object detection using OverFeat as discussed in thees two papers

9/6/15

Daniel Hamngren, Abhishek Das3

8/11/15

Double layer params in train_val.prototxt (bvlc_reference_caffenet)

Thank you! On Tuesday, August 11, 2015 at 12:51:09 PM UTC+2, Abhishek Das wrote: Hi Daniel, One is

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Double layer params in train_val.prototxt (bvlc_reference_caffenet)

Thank you! On Tuesday, August 11, 2015 at 12:51:09 PM UTC+2, Abhishek Das wrote: Hi Daniel, One is

8/11/15

8/3/15

Reference caffenet validation accuracy/error

Hi. I downloaded pre-trained caffemodel from Model Zoo and tested on validation set. On the README

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Reference caffenet validation accuracy/error

Hi. I downloaded pre-trained caffemodel from Model Zoo and tested on validation set. On the README

8/3/15

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