Neural Networks: EssentialsThere is a new version of this course. Please see Neural Networks: Essentials. This course combines theory and practice to immerse you in the core concepts of neural network models and the essential practices of real-world application. During the course, you programmatically build a neural network and discover how to adjust the model’s essential parameters to solve different types of business challenges. You implement early stopping, build autoencoders for a predictive model, and perform an intelligent automatic search of the model hyperparameter values. The last lesson introduces deep learning. You gain hands-on practice building neural networks in SAS 9.4 and the cutting-edge cloud computing platform for big data analytics, SAS Viya. Learn how to
Who should attendThose interested in learning about neural networks, general machine learning and data science techniques, and SAS software
Before taking this course, you should have the following:
This course addresses SAS Viya software.
Neural Networks: Essentials
INTN34
|
United States
|