Convolutional Network, Computer Vision, Neural Networks, Deep Learning, Machine Learning.
#Padding in Keras same_padding_conv = Conv2D(filters=32, kernel_size=(3, 3), strides=(1, 1), padding='same') Stride: Stride defines the step size at which the filter moves across the input during convolution. A larger stride results in a reduction of the spatial dimensions of the output feature