Deep Learning, Image Processing, Convolutional Network, Machine Learning, Artificial Intelligence.
compressed in its width and height and is usually expanded in-depth. This way, the high-level context of the signal is learned. However, since the network in deeper layers compresses the information, weak relationships might be lost. Thus, when the relationships within the image are more complex,