Training

[luciaL]

I trained my own data using TVG_new_traintest.prototxt. I changed the number of output and the name of the deconvolution layer as well as initialize the weights of all layers.But the output is still all black.Then I visualized feature of every layer.I found that the feature become all black after the first deconvolution layer.Do you know where the problem lie???

[bittnt]

This is because you did not successfully initialize the deconv layer.

[Sam813]

@luciaL I have the same issue, may I know how did you solve it?

below is the way that I did it,
since My images consist of two class of background and tumors I changed the 21 to 2, and also renamed it to xxx_new

layer {
name: "score2-new"
type: "Deconvolution"
bottom: "score"
top: "score2-new"
param {
lr_mult: 1
}
convolution_param {
num_output: 2 #21
kernel_size: 4
stride: 2
weight_filler: { type: "xavier"
std: 0.1
}
bias_filler {
type: "constant"
value: 0.2 }
}
}
So as you see, i changed the number of outputs to 2 and initialize the weights by xavier method.

I have included my train prototext in case it can help.

Train_prototext.txt

[luciaL]

Thank you so much @Sam813 . I have finished this work already. Good luck.