- Artificial Intelligence and Machine Learning (AI/ML)
- PyTorch (Machine Learning Library)
- Performance Tuning
- Generative AI
- Keras (Neural Network Library)
- Data Processing
- Machine Learning Methods
- Network Architecture
- Artificial Neural Networks
- Deep Learning
- TensorFlow
- Network Model
Advanced Generative Adversarial Networks (GANs)
Completed by Nihel Charfi
April 18, 2025
23 hours (approximately)
Nihel Charfi's account is verified. Coursera certifies their successful completion of Advanced Generative Adversarial Networks (GANs)
What you will learn
Understand the principles and architecture of GANs
Explain how to implement and train GAN models for image synthesis
Apply techniques to optimize GAN models for improved performance
Evaluate and interpret GAN-generated images
Skills you will gain
