Convolutional Network, Computer Vision, Neural Networks, Deep Learning, Machine Learning.
This often leads to a reduction in the spatial dimensions of the output feature map. from tensorflow.keras.layers import Conv2D # Valid Padding valid_padding_conv = Conv2D(filters=32, kernel_size=(3, 3), strides=(1, 1), padding='valid') Same Padding: Same padding ensures that the output feature map