Learn a 10-step formula for developing successful deep learning projects in this 22-minute video. Understand how to define the problem, prepare data, choose the right method, apply a baseline approach, select appropriate architecture, implement effective training strategies, prevent overfitting through regularization, enhance results with data augmentation, add model interpretability, and deploy and monitor your model. Follow this comprehensive guide to navigate the complexities of deep learning projects and improve your chances of success.