About the Course

• It's AI. Deep learning (DL) engineers have numerous career opportunities. DL is a new "superpower" that will let you build AI systems that just weren't possible a few years ago. 

• Here, you will learn the foundations of deep learning: major technology trends driving Deep Learning, to build, train and apply fully connected deep neural networks, to implement efficient (vectorized) neural networks, key parameters in a neural network's architecture 

• After completion:  Can apply deep learning to your own applications. Job seekers will be able to answer basic interview questions. 

Before opening this treasure, first take some ML course because the book is not teaching ML algorithms,

• Makes you technical leader in AI and guide you to learn how to set direction for your team

• ​Prioritize the most promising directions for an AI project

• Diagnose errors in a machine learning system

• Build ML in complex settings, such as mismatched training/test sets

• Set up an ML project to compare to and/or surpass human-level performance

• Know when and how to apply end-to-end learning, transfer learning, and multi-task learning