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.
Learn how to
Who should attend
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|
|13-16 JUN 2017||Live Web||01:00 PM-04:30 PM EDT||English||1600 USD / 3.2 EPTO|
|13-14 JUL 2017||Rockville, MD||09:00 AM-05:00 PM EDT||English||1600 USD / 3.2 EPTO|
|19-20 JUL 2017||Live Web||07:00 PM-03:00 AM EDT||English||1600 USD / 3.2 EPTO|
|15-18 AUG 2017||Live Web||01:00 PM-04:30 PM EDT||English||1600 USD / 3.2 EPTO|
|08-09 NOV 2017||Charlotte, NC||09:00 AM-05:00 PM EST||English||1600 USD / 3.2 EPTO|
|28 NOV-01 DEC 2017||Live Web||01:00 PM-04:30 PM EST||English||1600 USD / 3.2 EPTO|