Description
- Module 1: Create and explore a project in SAS® Visual Text Analytics/ Use convolutional layers in a Convolutional Neural Network (CNN)
- Module 2: Tune the Hyperparameters of a Convolutional Neural Network (CNN)/ Use the Concepts and Text Parsing Nodes to extract Terms and Concepts
- Module 3: Use rules to identify documents belonging to specific categories/ Use output layers in a Convolutional Neural Network (CNN)
- Module 4: Identifying Text Patterns Using Natural Language Processing Techniques/ Use the Topics Node to extract machine-generated topics
- Module 5: Explain the impact of various architectural designs/ Use a Recurrent Neural Network (RNN) to recognize patterns
- Module 6: Use fully connected layers in a Convolutional Neural Network (CNN)/ Identifying Image Patterns Using Computer Vision Techniques
- Module 7: Use regularization techniques/ Loading and Exploring Data
- Module 8: Use padding in a Convolutional Neural Network (CNN)/ Import documents for analysis
- Module 9: Load and prepare image data/ Score new image data
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