Neural Network Modeling
This course helps you understand and apply two popular artificial neural network algorithms: multi-layer perceptrons and radial basis functions. Both the theoretical and practical issues of fitting neural networks are covered. Specifically, this course teaches you how to choose an appropriate neural network architecture, how to determine the relevant training method, how to implement neural network models in a distributed computing environment, and how to construct custom neural networks using the NEURAL procedure.
This course can help prepare you for the following certification exam(s): SAS Advanced Predictive Modeling.Learn how to
Who should attendData analysts and modelers with a strong mathematical background
Before attending this course, you should
This course addresses SAS Enterprise Miner software.
Introduction to Neural Networks
|Dates||Location||Time||Language||Fee||Add to Cart|
|29 JAN-01 FEB 2019||Live Web||01:00 PM-04:30 PM EST||English||1,600 USD / 3.2 EPTO|
|30-31 MAY 2019||Live Web||09:00 AM-05:00 PM EDT||English||1,600 USD / 3.2 EPTO|
|30-31 MAY 2019 Connected Class||New York, NY||09:00 AM-05:00 PM EDT||English||1,600 USD / 3.2 EPTO|
|22-25 OCT 2019||Live Web||01:00 PM-04:30 PM EDT||English||1,600 USD / 3.2 EPTO|
|10-11 DEC 2019||Live Web||12:00 PM-08:00 PM EST||English||1,600 USD / 3.2 EPTO|
|10-11 DEC 2019 Connected Class||San Francisco, CA||09:00 AM-05:00 PM PST||English||1,600 USD / 3.2 EPTO|