Caffe Users

The idea behind mean subtraction is to remove the biases in individual pixel dimensions. It's

Sorry for being so new to this, but all I've seen so far is creating models based on image data

Hi folks, I am novice in caffe. I have a task to train models like AlexNet, GoogleNet with dataset

Hello! I'm writing my thesis about synthetic dataset generation for training object detection.

It looks like converting the images to RGB (using the provided Digits checkbox when creating the

Classification networks output as many channels as the number of classes in your dataset. So if you

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

I have my training dataset as a vector (time series data of size 3000 for example) and a label of

hey guys, I have a problem. when I train the Imagenet with my own Dataset i get accuracy about 0.6-

oh i lied, here's what ls -l outputs (train and val respectively) On Tuesday, August 2, 2016 at

Hello 1. I dont understand what you mean by that! if you happen to mean, how the learning process is

Hello everyone, how can I download cifar10_full_iter_70000.caffemodel or other iteration snapshot but

In the python interface you can call stat() on the environment, which returns a dict. The '

​ground truth labels rangeing 1 to 459 rather than 1 to 59. What should I do to prepare the input

Hello, This is a question for practiotioners with some hands-on experience training CNNs both from

Thank you very much! It helps me a lot. Talking about the sequence learning, I'm also considering

Hello! I have tried to finetune a pretrained model using a training set that has 20 classes. The