- Data Preprocessing
- Embeddings
- Image Analysis
- Transfer Learning
- PyTorch (Machine Learning Library)
- Convolutional Neural Networks
- Matplotlib
- Artificial Neural Networks
- Tensorflow
- Network Architecture
- NumPy
- Keras (Neural Network Library)
Advanced Generative Adversarial Networks (GANs)
Completed by Jose Juan Castro Perez
November 1, 2024
12 hours (approximately)
Jose Juan Castro Perez'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
