In this capstone, learners will apply their deep learning knowledge and expertise to a real world challenge. They will use a library of their choice to develop and test a deep learning model. They will load and pre-process data for a real problem, build the model and validate it. Learners will then present a project report to demonstrate the validity of their model and their proficiency in the field of Deep Learning. Learning Outcomes: \tdetermine what kind of deep learning method to use in which situation \tknow how to build a deep learning model to solve a real problem \tmaster the process of creating a deep learning pipeline \tapply knowledge of deep learning to improve models using real data \tdemonstrate ability to present and communicate outcomes of deep learning projects