This Neural Networks - Essentials training course provides skills to programmatically build a neural network and discover how to adjust the model’s essential parameters to solve different types of business challenges. You implement early stopping, build autoencoders for a predictive model, and perform an intelligent automatic search of the model hyperparameter values. The last lesson introduces deep learning.
By attending Neural Networks - Essentials workshop, delegates will learn to:
- Programmatically build neural networks in SAS and SAS Viya
- Modify neural networks' parameters for better performance
- Conduct automatic search for neural networks' hyperparameters through genetic algorithm
- Enhance data with autoencoders and synthetic observations
- Some familiarity with programming in SAS or SQL (or both)
- An understanding of predictive modeling
- A basic understanding of calculus
The Neural Networks - Essentials class is ideal for:
- Those interested in learning about neural networks, general machine learning and data science techniques, and SAS software.