NLP and Computer Vision Using SAS Viya Overview
This NLP and Computer Vision Using SAS Viya certification course will explain to you some important following factors, those are:
- Loading and Preparing text and image data.
- Using the point-and-click interface of Model Studio and SAS Visual Text Analytics.
- Interpreting term maps and automatically identify key textual topics in your large document collections.
- Creating, modifying and enabling (or disabling) custom concepts and testing linguistic rule definitions with validation checks within the same interactive GUI.
- Extracting individual instances of concepts from within documents.
- Creating custom Boolean rules to categorize documents with respect to a categorical target variable and automatically modify those rules.
- Programming in CASL (experience with other languages, i.e. Python, R, Lua may benefit candidates)
- Defining and understanding deep learning and building models using deep learning techniques.
- Applying models to score (inference) new data.
- Modifying data for better analysis results.
- Searching the hyperparameter space of a deep learning model.
Module 1: Loading and Exploring Data (20%)
Module 2: Identifying Text Patterns Using Natural Language Processing Techniques (42%)
- Lesson 1: Use the Concepts and Text Parsing Nodes to extract Terms and Concepts
- Lesson 2: Write concept rules
- Lesson 3: Use the Topics Node to extract machine-generated topics
- Lesson 4: Use rules to identify documents belonging to specific categories
- Lesson 5: Write category rules
- Lesson 6: Use a Recurrent Neural Network (RNN) to recognize patterns
Module 3: Identifying Image Patterns Using Computer Vision Techniques (38%)
- Lesson 1: Use convolutional layers in a Convolutional Neural Network (CNN)
- Lesson 2: Use padding in a Convolutional Neural Network (CNN)
- Lesson 3: Use pooling in a Convolutional Neural Network (CNN)
- Lesson 4: Use fully connected layers in a Convolutional Neural Network (CNN)
- Lesson 5: Use output layers in a Convolutional Neural Network (CNN)
- Lesson 6: Tune the Hyperparameters of a Convolutional Neural Network (CNN)
- Lesson 7: Score new image data
- Lesson 8: Explain the impact of various architectural designs
- Lesson 9: Use regularization techniques
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