DenseNetCaffe

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hi, can you tell me how many number of neurons are there in each layer and how many layers are there in 1 dense block of densenet121 architecture

Babar404

out of memory

2

I built a densenet with default parameters (depth=40, batch-size=64 and 50), adapted the number of outputs to 3 for my dataset (160x160x3 px images) resulting in ~1mio parameters (which is...

makroid

Train problem

1

when I train this DenseNet using my dataset , I find some weight diff/data are nan. I don't know this problem how to solve this problem. such as:weight diff/data:nan nan...

gaoyuxinlove

The loss equaled to 87.3365 during the training stage and didn't change

5

I followed the instruction and didn't change the settings in solver.prototxt, but the loss converged to 87.3365 soon. It's said that this is because the learning rate is too large...

cengzy14

Could the author upload the pretained model on ImageNet?

1

Could the author upload the pretained model on ImageNet? I find it is hard to converge with my own data and initialization setting. Thanks a lot.

emma-sjwang

Hi, I'm new here, I'm sorry also for my english. I have some troubles to understand the models of DNN using batchnormalization, in specifique using keras. Can somebody explaind me...

jorgeMariano

Why not use BatchNorm in-place, any concern?

6

WenzhMicrosoft

About number of feature map in first block and "conv" layer in BC model

7

Hi, I read your code and I saw that the number of feature map before goes to first dense block is twice time of growth rate k. Can I choose...

mjohn123

CaffeModel_Trained_on_ImageNet

14

Hi,Thanks for your sharing ! I noticed that your team have released the torch model trained on the ImageNet, Could you please release your caffe model trained on the ImageNet?

3DMM-ICME2023