Predictive Analytics: Identifying Tumors with Deep Learning Models

Skillsoft issued completion badges are earned based on viewing the percentage required or receiving a passing score when assessment is required. Azure Machine Learning designer allows you to create machine learning models using no-code, drag-and-drop pipelines. Use this course to build pre-trained neural network models that detect diseases from image scans using Azure Machine Learning designer. Learn how to set up data for model training, validation, and testing and how to feed that data into a pipeline that employs a DenseNet model. Next, discover how a model can be configured and substitute a pipeline's DenseNet model with a ResNet model. Finally, explore how a model's training metrics can be analyzed to understand what tweaks need to be applied to build a more reliable model. Upon completion, you'll be able to build DenseNet and ResNet models that can identify tumors from chest scan images.