coursera-deep-learning-specialization

Why we included this project

Anyone working through Andrew Ng's Deep Learning Specialization on Coursera will find this repo a useful companion: it collects the actual programming assignments from all five courses, along with the quizzes and the author's own study notes, all updated for the 2021 revision that moved the curriculum from TensorFlow 1 to TensorFlow 2. A setup script pulls down the pre-trained models and datasets the notebooks rely on, so you can rerun each exercise yourself instead of just reading the solutions. The material spans the full arc of the specialization, from logistic regression and building a deep neural network step by step through CNNs, neural style transfer, and sequence models. Treat it as a study aid and reference for review, not a codebase to embed in a production system.