Im trying to train the FCN8s model using a multispectral image dataset (Hamlin state beach park High-resolution multispectral dataset - 6 channel data and 19 classes). I’m getting the image segmented (Pixel wise classification) when I trained the network with 3 channel as input. Now trying to train the net using all the 6 channels, For that, I have changed the input channels and the weight tensor size suitable for the 6 channel training with the same hyperparameters, but after training for the same number of epochs im getting all the pixels classified into 0 class.