Caffe Users

Hi, I'm a student and I'm looking to learn how to use the coffee framework. I'm trying to

I have changed names and other things to avoid type problems, but I continue with the same problem...

Hi, I am following the caffe cifar10 example (http://caffe.berkeleyvision.org/gathered/examples/

Please resend this message, but attach this log to the post instead of pasting it. It's very

Hello, thanks for bearing with me here! The problem is now solved: The input blobs were in fact

Thank you! I will give that a try and see if that fixes my issue! Matt On Friday, March 23, 2018 at 8

Thank you.. I have made some changes in the solver file. On Tuesday, 20 March 2018 21:32:16 UTC+9,

When I set debug_info to true in the solver, I get the info that the diff gets nan for many layers

I'm building an application where a need to evaluate one sample at a time during testing

Thanks for your help Jonathan ^^

Hi, i was working with VGG based Segnet but i never saw this message there. Any how at present i am

Usually neural networks don't generalize to new types of data. If you want to test on sagittal

I think you would need to post your model prototxt. Accuracy should indeed be between 0 and 1, even

Hi Peter, You are correct, for prediction it uses the learned mean and variance, as long as the

Hey guys. I have dived in very deep waters of Caffe Python. I have to perform a multilabel

Hi, I'm trying to implement binary weights within caffe (using a simple class that models binary,

Hello guys, any thoughts would be helpful

Hi, I've hit a snag for the first time that I can't resolve reading the previous threads. I

I try to use two gpus to train with a little modification of python/train.py. I modified function

Follow the ipython notebooks bundled with Caffe, like this one on how to run a pre-trained net for

No, I have no idea. Did you have any comments? On Thursday, April 27, 2017 at 4:52:24 PM UTC-4,

Hello everyone I am trying to train Googlenet which is in the models file but I am getting the error

Trained weights do not fully specify convolutional layers. You can have an arbitrarily shaped data

I'm trying to calculate the classification error for several pre-trained models. I start by

hi, all, When I tested the trained CNN, I found that the value of inner product layer which connected

Using the BVLC reference AlexNet file, I have been training a CNN against a training set I created.

LMDB "datum" has a data and label fields. If data is a vector, I wouldn't say as I

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

Hello, When training a neural network, I consistently see that the training loss and testing loss are

hello. how to use the small network instead of Restnet50? 在 2016年11月10日星期四 UTC+8上午10:48:00，NM写道： Hi,