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| Section | Weight | Objectives |
|---|---|---|
| Identifying Image Patterns Using Computer Vision Techniques | 38% | - Use output layers in a Convolutional Neural Network (CNN) - Use regularization techniques - Use convolutional layers in a Convolutional Neural Network (CNN) - Tune the hyperparameters of a Convolutional Neural Network (CNN) - Use padding in a Convolutional Neural Network (CNN) - Use fully connected layers in a Convolutional Neural Network (CNN) - Score new image data - Explain the impact of various architectural designs - Use pooling in a Convolutional Neural Network (CNN) |
| Loading and Exploring Data | 20% | - Create and explore a project in SAS Visual Text Analytics - Import documents for analysis - Load and prepare image data |
| Identifying Text Patterns Using Natural Language Processing Techniques | 42% | - Write category rules - Use a Recurrent Neural Network (RNN) to recognize patterns - Use rules to identify documents belonging to specific categories - Use the Concepts and Text Parsing Nodes to extract terms and concepts - Write concept rules - Use the Topics Node to extract machine-generated topics |
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