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SAS A00-405 Exam
- Topic 1: Create and explore a project in SAS? Visual Text Analytics/ Use convolutional layers in a Convolutional Neural Network (CNN)
- Topic 2: Tune the Hyperparameters of a Convolutional Neural Network (CNN)/ Use the Concepts and Text Parsing Nodes to extract Terms and Concepts
- Topic 3: Use rules to identify documents belonging to specific categories/ Use output layers in a Convolutional Neural Network (CNN)
- Topic 4: Identifying Text Patterns Using Natural Language Processing Techniques/ Use the Topics Node to extract machine-generated topics
- Topic 5: Explain the impact of various architectural designs/ Use a Recurrent Neural Network (RNN) to recognize patterns
- Topic 6: Use fully connected layers in a Convolutional Neural Network (CNN)/ Identifying Image Patterns Using Computer Vision Techniques
- Topic 7: Use regularization techniques/ Loading and Exploring Data
- Topic 8: Use padding in a Convolutional Neural Network (CNN)/ Import documents for analysis
- Topic 9: Load and prepare image data/ Score new image data
Free SAS A00-405 Exam Actual Questions
The questions for A00-405 were last updated On Apr. 16, 2024
The kewords Firstname and LastName to defined concepts:
Insert the appropriate characters) before the leftmost curly brace ({) to identify the FirstName LastName pair as the required information to be extracted from a document.
Enter your answer in the field above
C_CONCEPT: Professor _c{FIRSTNAME LASTNAME}.
CASL
Python
Review the code in the CASL and Python tabs The code sets are the same but in different languages Given this code which statement correctly describes this recurrent neural network built by the code set1?
Which option is the correct activation (unction for the output layer in a CNN model trained to classify an image belonging to one of the n classes (CI. C2, C3, , Cn)?
CASL
Python
Review the code in the CASL and Python tabs The code sets are the same but in different languages Given this code which statement correctly describes this recurrent neural network built by the code set1?
The kewords Firstname and LastName to defined concepts:
Insert the appropriate characters) before the leftmost curly brace ({) to identify the FirstName LastName pair as the required information to be extracted from a document.
Enter your answer in the field above
C_CONCEPT: Professor _c{FIRSTNAME LASTNAME}.
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