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 cpml course or the Neural Networks: Essentials course. Previous SAS software experience is helpful but not required.

SAS Products Covered

SAS Viya;SAS Visual Data Mining and Machine Learning

Course Outline

Introduction to Deep Learning

Introduction to neural networks.

Introduction to deep learning.

Autoencoders.

Convolutional Neural Networks

Introduction to convolutional neural networks.

Structure of a convolutional neural network.

Building and training a convolutional neural network.