The objective of this course is to provide students with practical, hands-on experience with state-of the-art deep learning tools that are widely used in industry. 

On completion of this course students will:
- Recognize various neural network architectures and be able to select an appropriate architecture for a problem;

- Understand how to train, validate, and test neural network architectures using industry standards;

- Understand various failure modes that can arise when training deep neural networks and be able to recognize and troubleshoot failure       modes;

- Have knowledge and appreciation of how to scale the training of deep neural networks and integrate trained networks into web applications.