Neural Networks and Deep Learning Course Begins

Neural Networks and Deep Learning is one of six non-credit courses in the Certification in Practice of Data Analytics (CPDA) program. This course can be taken individually or as one of four courses required to receive the CPDA certificate of completion.

Students will learn to:

1. Understand the key technology trends driving the field of deep learning
2. Be able to construct, train, and apply deep neural networks
3. Recognize important parameters in the architecture of a neural network
4. Apply regularization and cross-validation methods to avoid overfitting data
5. Identify which deep learning methods are best suited for a given task
6. Use Python and TensorFlow to build flexible and efficient deep/machine learning models