Hi there,
I am using transfer learning approach for my audio data classification. I have converted the audio into spectrograms(2 D structures).
My queries are


Do I need to run the previous model for training, or i should directly load this pretrained model ? coz I think there is no gain running on old model. the shape of spectrogram input is (1,384,118)  I think I need to reshape it , any suggestion?


I am using alexnet  as follows:


model=model.alexnet(pretrained=True)
model.classifier[6]=nn.Linear(4096,4) # as I have four classes 
criterion
optimizer
training.

The error I am getting is
Given groups=1,weight of size [64,3,11,11],expected input[64,1,384,118] to have 3 chanels, but got 1 channels instead.
Could someone help ,I am trying transfer learning first time.