Translations:Transfer Learning/21/en: Difference between revisions
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# The target dataset is small relative to the model's capacity. | # The target dataset is small relative to the model's capacity. | ||
# The source and target domains share structural similarities (e.g., both involve natural images or natural language). | # The source and target domains share structural similarities (e.g., both involve natural images or natural language). | ||
# Computational resources for full | # Computational resources for full pretraining are unavailable. | ||
# Rapid prototyping is needed before committing to large-scale data collection. | # Rapid prototyping is needed before committing to large-scale data collection. | ||
Revision as of 22:05, 27 April 2026
- The target dataset is small relative to the model's capacity.
- The source and target domains share structural similarities (e.g., both involve natural images or natural language).
- Computational resources for full pretraining are unavailable.
- Rapid prototyping is needed before committing to large-scale data collection.