This course provides a comprehensive coverage of deep learning and neural networks, including deep learning fundamentals, hyperparameter debugging, optimization algorithms, hands-on structured machine learning projects, and applications of convolutional neural networks and sequence models. Covering everything from Logistic Regression to Convolutional Neural Networks to Target Detection and Natural Language Processing, the course helps students master the key techniques of deep learning through examples and exercises.
