Improving Deep Neural Networks

The "Improving Deep Neural Networks" course focuses on advanced techniques to enhance the performance and efficiency of deep learning models. Participants will explore methods for optimizing network architectures, tuning hyperparameters, and applying regularization to prevent overfitting. The course also covers practical skills for debugging and evaluating models, providing a comprehensive approach to mastering deep neural network improvements. Through theoretical knowledge and hands-on projects, learners will develop the expertise needed to tackle complex challenges in deep learning applications.