Caffe Users

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danie...@gmail.com2

8/7/18

Using MobileNet SSD training, loss always being 0

I solved this bug. It turns out the coordinates of the bbox in the annotation xml files cannot be

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Using MobileNet SSD training, loss always being 0

I solved this bug. It turns out the coordinates of the bbox in the annotation xml files cannot be

8/7/18

3/7/18

Why I need very low learning rate in training SSD?

I used SSD for object detection. I trained 720 images with 720 x 720 width and height. Resize is set

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Why I need very low learning rate in training SSD?

I used SSD for object detection. I trained 720 images with 720 x 720 width and height. Resize is set

3/7/18

Kostas, Pasc Peli3

3/12/18

High loss training fcn8s at once

Hi Pasc, It's been a while and I honestly can't remember what I did and unfortunately I don

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High loss training fcn8s at once

Hi Pasc, It's been a while and I honestly can't remember what I did and unfortunately I don

3/12/18

11/9/16

solver type Adam worse than SGD

I use Dataset: cifar10 model: googlenet (inception v1) learning rate: fixed, 0.001(0~60000 iter),

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solver type Adam worse than SGD

I use Dataset: cifar10 model: googlenet (inception v1) learning rate: fixed, 0.001(0~60000 iter),

11/9/16

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

Sharp Weapon, Wilf Rosenbaum4

11/2/16

Zero accuracy training a neural network using caffe

Oh, ok, in that case the best thing you should check is

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Zero accuracy training a neural network using caffe

Oh, ok, in that case the best thing you should check is

11/2/16

Suyog Trivedi, Ketil Malde5

10/14/16

Caffe significance of Validation (test) loss and Train (loss)

Thanks for your help. I ran the training for 15k iterations. I am getting the output curve as below.

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Caffe significance of Validation (test) loss and Train (loss)

Thanks for your help. I ran the training for 15k iterations. I am getting the output curve as below.

10/14/16

7/22/16

Finetuning: Stopping some layers from learning via "lr_mult: 0" doesn't seem to work

Or maybe it doesn't use the former net, after all: https://groups.google.com/forum/#!searchin/

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feature-extraction

Finetuning: Stopping some layers from learning via "lr_mult: 0" doesn't seem to work

Or maybe it doesn't use the former net, after all: https://groups.google.com/forum/#!searchin/

7/22/16

Raúl Gombru, Evan Shelhamer3

7/28/16

Variance in optimum learing rate value to fine-tune FCN in different frameworks

Thank you for your answer Evan! It has been really helpful. So I understand that the choice of

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fullyConvolutional

Variance in optimum learing rate value to fine-tune FCN in different frameworks

Thank you for your answer Evan! It has been really helpful. So I understand that the choice of

7/28/16

Jalen Hawkins, Daniel Moodie4

6/24/16

okay so i found a few slight mechanical errors such as the name of some of the pictures not matching

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okay so i found a few slight mechanical errors such as the name of some of the pictures not matching

6/24/16

dpvo, Norman he2

6/10/16

loss suddenly jumps as fine-tuning GoogleNet

It is overfitting after the 119040th iteration. On Sunday, May 15, 2016 at 12:49:43 PM UTC-7, dpvo

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loss suddenly jumps as fine-tuning GoogleNet

It is overfitting after the 119040th iteration. On Sunday, May 15, 2016 at 12:49:43 PM UTC-7, dpvo

6/10/16

3/23/16

Including `phase` and `blob_lr` in net prototxt from Python

This code: from caffe import layers as L from caffe import params as P def lenet(lmdb, batch_size): #

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Including `phase` and `blob_lr` in net prototxt from Python

This code: from caffe import layers as L from caffe import params as P def lenet(lmdb, batch_size): #

3/23/16

Jan C Peters, Evan Shelhamer3

10/30/15

Why learning rate in AdaDelta?

Thanks for the answers, Evan! Am Donnerstag, 29. Oktober 2015 22:00:43 UTC+1 schrieb Evan Shelhamer:

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Why learning rate in AdaDelta?

Thanks for the answers, Evan! Am Donnerstag, 29. Oktober 2015 22:00:43 UTC+1 schrieb Evan Shelhamer:

10/30/15

Harshit Laddha, … Miguel Garcia3

4/1/16

Implementing GoogLenet for Devanagri (Hindi) character classification.

Try centering your training images El sábado, 22 de agosto de 2015, 2:06:00 (UTC-5), Harshit Laddha

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Implementing GoogLenet for Devanagri (Hindi) character classification.

Try centering your training images El sábado, 22 de agosto de 2015, 2:06:00 (UTC-5), Harshit Laddha

4/1/16

Suraj Srinivas, Evan Shelhamer3

6/2/15

Accuracy changes even when learning rate is set to zero

Thanks for your response! I am not entirely sure how it works. So if I delete the solverstate file

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Accuracy changes even when learning rate is set to zero

Thanks for your response! I am not entirely sure how it works. So if I delete the solverstate file

6/2/15

3/4/15

publish a tools [huabot-brain] for easy using caffe

I write a web base front tool for easy use caffe please see https://github.com/Lupino/huabot-brain

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publish a tools [huabot-brain] for easy using caffe

I write a web base front tool for easy use caffe please see https://github.com/Lupino/huabot-brain

3/4/15

Xiao Yang, … Evan Shelhamer11

2/24/15

Get "loss=nan" info at the very beginning; even when setting base_lr=0

Thanks! That helps a lot, since right now I am trying to have a look of the source code Besides,

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Get "loss=nan" info at the very beginning; even when setting base_lr=0

Thanks! That helps a lot, since right now I am trying to have a look of the source code Besides,

2/24/15

Zhongyu Lou, … ada...@ucr.edu4

10/24/16

What's the rule of gamma and weight_decay is solver.prototxt

From some old discussions (link1, link2) I got the idea that 'weight_decay' parameter is the

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What's the rule of gamma and weight_decay is solver.prototxt

From some old discussions (link1, link2) I got the idea that 'weight_decay' parameter is the

10/24/16

Aleš Žurek, … Alex Orloff6

9/3/16

Nudity detection

Hi Sergey! Thank you for your reply So, can you please share your solution? BTW does your model make

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Nudity detection

Hi Sergey! Thank you for your reply So, can you please share your solution? BTW does your model make

9/3/16

10/24/14

adagrad and learning rates

How does the learning rate policy affect adagrad? Should we just set a fixed learning rate and let

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adagrad and learning rates

How does the learning rate policy affect adagrad? Should we just set a fixed learning rate and let

10/24/14

Ankit Arya, … Evan Shelhamer4

10/5/14

Example: Fine tuning flickr dataset

Thanks Yangqing and Evan, that was helpful ! I get the point now. Sorry if it was a naive question,

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Example: Fine tuning flickr dataset

Thanks Yangqing and Evan, that was helpful ! I get the point now. Sorry if it was a naive question,

10/5/14

9/15/14

Why the model was changed even if setting blobs_lr = 0?

Greetings, Thanks for developing such an amazing tool for deep learning. I'm using Caffe and

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Why the model was changed even if setting blobs_lr = 0?

Greetings, Thanks for developing such an amazing tool for deep learning. I'm using Caffe and

9/15/14

9/12/14

Is there a way to change the learning rate while training?

I know I can change the learning rate and start from the last snapshot. But I was wondering if it is

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Is there a way to change the learning rate while training?

I know I can change the learning rate and start from the last snapshot. But I was wondering if it is

9/12/14

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