This repository provides a tutorial implementation of the U-Net architecture for the Kaggle Ultrasound Nerve Segmentation competition. The model is a convolutional auto-encoder with skip connections between encoder and decoder layers at corresponding levels, implemented using Keras with TensorFlow backend. It processes ultrasound images resized to 64x80 pixels and outputs segmentation masks scaled between 0 and 1.