This repository implements a neural network for automatic image colorization. The model takes grayscale images as input and predicts the corresponding colorized output. It leverages a VGG-based architecture with multiple convolutional layers for feature extraction and color prediction. The implementation uses TensorFlow and was trained on large-scale image datasets to learn color distribution patterns.