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The mistake is
Check failed: top_shape[j] == bottom[i]->shape(j) (45 vs. 46) All input
s must have the same shape, except at concat_axis.
So,I want to konw how you modofy your Inception_v3_GoogLeNet through original Inception_v3.
thanks.
The text was updated successfully, but these errors were encountered:
Inception v4 needs careful design, as it uses VALID padding for some layers (size mismatches due to valid padding only ). So to make thing simple you can use SAME padding for all layers.
I train your Inception_v3_GoogLeNet by caffe, it is successful. But I train Inception_v4 by caffe, it is wrong.
inception_v4_train_test.prototxt.txt
The mistake is
Check failed: top_shape[j] == bottom[i]->shape(j) (45 vs. 46) All input
s must have the same shape, except at concat_axis.
So,I want to konw how you modofy your Inception_v3_GoogLeNet through original Inception_v3.
thanks.
The text was updated successfully, but these errors were encountered: