| name | KSB-D08-K0012 |
| description | Deep Learning Applications: Recurrent neural networks for temporal pattern detection, convolutional networks for complex pattern... |
| version | 1.0.0 |
| domain | D08 |
| domain_name | Signal Detection & Management |
| type | Knowledge |
| proficiency_level | L4 |
| bloom_level | analyze |
| triggers | ["explain deep learning applications","what is deep learning applications","analyze deep learning applications"] |
| epa_mapping | EPA-04, EPA-05 |
| cpa_mapping | CPA-02 |
| regulatory_refs | FDA-GUID-006, EMA-GVP-005, EMA-GVP-010, CIOMS-VIII |
KSB-D08-K0012: Deep Learning Applications
Overview
Domain: D08 - Signal Detection & Management
Type: Knowledge
Proficiency Level: L4 (Proficient - Independent practice)
Bloom Level: Analyze
Description
Recurrent neural networks for temporal pattern detection, convolutional networks for complex pattern recognition, transformer models for sequence analysis
Context
- Major Section: Signal Detection Theoretical Foundation and Methodological Framework
- Section: Advanced AI-Enhanced Detection Algorithms
EPA Mapping
- EPA-04:3009-3010
- EPA-05:3011-3012
CPA Pathway
Regulatory References
- FDA-GUID-006
- EMA-GVP-005
- EMA-GVP-010
- CIOMS-VIII
Instructions
When this skill is activated, Claude should:
- Demonstrate L4 proficiency in deep learning applications
- Apply analyze level cognitive skills to analyze the topic
- Reference relevant regulatory guidance (FDA-GUID-006, EMA-GVP-005, EMA-GVP-010, CIOMS-VIII)
- Connect to related EPAs: EPA-04, EPA-05
Key Competencies
- Recurrent neural networks for temporal pattern detection, convolutional networks for complex pattern recognition, transformer models for sequence analysis
Assessment Criteria
- Can analyze core concepts independently
- Demonstrates understanding of regulatory context
- Applies knowledge appropriately to PV scenarios
Related Skills
- Other D08 skills in Advanced AI-Enhanced Detection Algorithms
- Cross-domain integrations per DAG architecture
Generated from PV KSB Framework v1.0 | 2025-12-31
