Deep Learning Using SAS® Software
DMLS : DLUS41
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.
Learn How To
- Define and understand deep learning.
- Build traditional, convolutional, and recurrent neural networks using deep learning techniques.
- Apply models to score new data.
- Search the hyperparameter space of a deep learning model.
- Leverage transfer learning using supervised and unsupervised methods.
Who Should Attend
Machine learners and those interested in deep learning, computer vision, or natural language processing
Prerequisites
Before attending this course, you should have at least an introductory-level familiarity with basic neural network modeling and basic machine learning. You can gain this experience by completing the Machine Learning Using SAS Viya course or the Neural Networks: Essentials course. Previous SAS software experience is helpful but not required.
SAS Products Covered
SAS Viya;SAS Machine Learning
Course Outline
Introduction to Deep Learning
- Introduction to neural networks.
- Introduction to deep learning.
- Autoencoders.
- Introduction to convolutional neural networks.
- Structure of a convolutional neural network.
- Building and training a convolutional neural network.
- Introduction to recurrent neural networks.
- Word embedding.
- Subtypes of recurrent neural networks.
- Selecting hyperparameters.
- Transfer learning.
- Customization using the SAS Function Compiler.
Live Class Schedule
Duration: 14 hours
Step into our live classes and experience a dynamic learning environment where you can ask questions, share ideas, and connect with your instructor and classmates. With on-demand lab hours, you can explore the material at your own pace. Our globally acclaimed instructors will motivate you to think bigger, so you can take what you've learned and achieve your biggest goals.
This course isn't publicly scheduled, but private training and mentoring may be available. Contact us to explore options.
Private Training
Get training tailored specifically for your team, led by expert SAS instructors. Choose from virtual sessions, or training at your location (or ours). Perfect for teams seeking a customized curriculum and plenty of interaction with a SAS specialist. We'll schedule it at a time that works for you.
Mentoring Services
Take your training to the next level with personalized mentoring. While private training offers structured coursework, mentoring provides hands-on, real-time support from a subject matter expert. As you work with your own data, you'll receive expert guidance to help you uncover insights, unlock the full potential of your data, and make faster progress. Perfect for those looking to apply what they’ve learned and see quicker results.
This course helps prepare you to earn the following SAS Credentials:
SAS Certification Manager
SAS partners with Pearson VUE to provide you with the best possible certification experience.
Certification Resources
