Deep Learning Using SAS® Software

This course introduces the pivotal components of deep learning. You learn how to build deep feedforward, convolutional, and recurrent networks. Neural networks are used to solve problems that include traditional classification, image classification, and sequence-dependent outcomes. The course contains a healthy mix of theory and application. Hands-on demonstration and practice problems are included to reinforce key concepts. Hyperparameter search methods are described and demonstrated to find an optimal set of deep learning models. Lastly, transfer learning is covered because the emergence of this field has shown promise in deep learning.

Location: Live Web
Date: 26-27 JUN 2024
Time: 03:30 AM-11:30 AM EDT
Language: English
Fee: 1,600 USD

 

Frequently Asked Questions

One seat in your classroom or live web course along with 12 month access to the e-learning version (if available) to practice after class. The course includes course materials pdf and hands-on virtual labs to practice in the software. You will also have the option to accept a digital, shareable badge upon completion of the course.
Yes, if an e-Learning version of the course is available, it is included with your classroom or live web course. Your 12-month e-Learning access will start after you’ve completed the course.
Yes, hands-on labs are included to practice if available for the course.
Yes. Schedule private team training exclusively for your team either virtually or in-person, at your location or ours.