gettting dl/dx shape from conv(padded dl/dz, rot180 kernels) in convolution neural networks
I am implementing cnn from scratch and I am stucked in dl/dx during backward propagation
ValueError: Data cardinality is ambiguous. Make sure all arrays contain the same number of samples.’x’ sizes: 8 ‘y’ sizes: 3
whenever i try to run this code it shows this value error and i don’t know why i check the lenght of the labels and images list and it’s equal but x_train and y_train is different in length
note that i can’t use tensorflow.keras for some reason it shows an error so i use only keras