BIA681 Introduction to Deep Learning (3 cr.)

Prerequisite(s): BIA680 
This course introduces students to the complex nature of deep learning. Studying  supervised and unsupervised models, students explore the benefits that deep learning offers to businesses. Using Python, students build a neural network model using the Keras framework and interpret the results for stakeholders.

Upon completion of this course, students are expected to be able to do the following:

1. Communicate a conceptual understanding of why neural networks are gaining popularity.
2. Compare neural networks with other data structures and the situations that neural networks should be used over other structures.
3. Visualize and interpret the components of a shallow neural network.
4. Construct a basic deep neural network model using Python and the Keras library.
5. Explain deep neural network model results for stakeholders.