Neural Networks: Essentials Duration: 10.5 hours INTNN : INTN35
Learn How To Programmatically build neural networks in SAS 9.4 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.Who Should Attend Those interested in learning about neural networks, general machine learning and data science techniques, and SAS software Prerequisites Before taking this course, you should have the following:; Some familiarity with programming in SAS or SQL (or both). An understanding of predictive modeling. A basic understanding of calculus.SAS Products Covered SAS Viya Course Outline Neural Networks: Essentials Introduction. Multilayer perceptrons. Neural network modeling paradigm. Using a surrogate model to interpret neural network predictions. Other considerations. Neural Network DetailsParameter estimation. Numerical optimization methods. Regularization. Unbalanced data. SAS search optimizations (selfstudy). Tuning a Neural NetworkSelecting hyperparameters with autotuning. Introduction to Deep LearningIntroduction to deep learning. Autoencoders. Radial Basis Function Networks (SelfStudy)
