This repository contains completed assignments and exercises from deeplearning.ai’s Deep Learning Specialization on Coursera, taught by Andrew Ng. The five-course sequence covers neural networks from basics through deep architectures, including hyperparameter tuning, regularization, optimization algorithms, convolutional networks, and sequence models. Content is presented as Jupyter Notebooks with implementations and exercises.