Artificial neural network (ANN) is a powerful machine learning tool that can be used to solve a wide range of problems, from image recognition to natural language processing. In this project-based course, you’ll learn the fundamentals of deep learning and ANNs by building and training your own ANN model.

The course is structured to provide a step-by-step guide on building your very own ANN, starting with a comprehensive introduction that lays a solid foundation. As you navigate through each section, you’ll delve deeper into the intricacies of ANNs, from installation and data preprocessing to the nuts and bolts of data encoding. But the adventure doesn’t end there! You’ll also tackle the critical steps in building an ANN, ensuring you have a strong grasp of the processes and methodologies essential for success in your projects.

But that’s not all! The final sections of the course will take you on a deep dive into the realms of predictions and imbalance-learn, equipping you with the tools and knowledge to confidently handle imbalanced datasets and extract accurate insights. By the end of your journey, you’ll emerge with a certificate and a profound understanding of ANNs, ready to take on the world of deep learning projects with newfound confidence and expertise. So, are you ready to embark on this exciting learning adventure? The world of artificial neural networks awaits!