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GANsDeep LearningAI
AI Human Face Generation
WGAN-GP model trained in TensorFlow to generate realistic human face samples from a custom dataset.
Architecture
Custom dataset
Generator
Critic
Gradient penalty
Generated samples
Results
Reduced training instability using WGAN-GP.
Validated outputs with loss curves and generative metrics.
Challenges
Mode collapse prevention
Dataset quality
Hyperparameter sensitivity
Future Improvements
Higher resolution synthesisFID improvementConditional generation