This Deep Learning using SAS training course provides skills to build deep feedforward, convolutional, recurrent networks, and variants of denoising autoencoders. The neural networks are used to solve problems that include traditional classification, image classification, and sequence-dependent outcomes. Hyperparameter search methods are described and demonstrated to find an optimal set of deep learning models. Transfer learning is covered in detail because of the emergence of this field has shown promise in deep learning. Lastly, you learn how to customize a SAS deep learning model to research new areas of deep learning.
By attending Deep Learning using SAS workshop, delegates will learn to:
- Define and understand deep learning
- Build models using deep learning techniques
- Apply models to score (inference) new data
- Modify data for better analysis results
- Search the hyperparameter space of a deep learning model
- Leverage transfer learning using supervised and unsupervised methods
- Familiarity with basic neural network modeling ideas
- Previous SAS software experience is helpful but not required
The Deep Learning using SAS class is ideal for:
- Machine learners and those interested in deep learning, computer vision, or natural language processing