Project Description
(Last Updated On: )This course is divided into two volumes, representing the two fundamental branches of Deep Learning: Supervised Deep Learning and Unsupervised Deep Learning. During this class real-world datasets are used to solve real-world business problems:
- Artificial Neural Networks to solve a customer churn problem
- Convolutional Neural Networks for image recognition
- Recurrent Neural Networks to predict stock prices
- Self-Organizing Maps to investigate fraud
- Boltzmann Machines to create a recomender system
