Machine Learning, Deep Learning, Image Segmentation, Keras, Biomedical Imaging.
Architecture U-Net is comprised of two parts, encoder, and decoder. Here Encoder decreases the input size while increasing the channel (depth) size as we move forward whereas decoder works vice versa. For the classification task, most of the deep neural network architecture is encoder kind off