This repository contains the complete set of solved assignments and labs from Coursera’s Deep Learning Specialization by deeplearning.ai. Learners build deep learning models from scratch using TensorFlow 2, implementing convolutional neural networks for image tasks, recurrent networks and LSTMs for sequence data, and transformer architectures for neural machine translation. Applications include object detection, facial recognition, autonomous driving scenarios, and trigger word detection.