- Artificial Neural Networks
- PyTorch (Machine Learning Library)
- Deep Learning
- TensorFlow
- Jupyter
- Generative Model Architectures
- Performance Tuning
- Generative AI
- Matplotlib
- Keras (Neural Network Library)
- NumPy
- Network Architecture
Advanced Generative Adversarial Networks (GANs)
Completed by Nihel Charfi
April 18, 2025
12 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
