This course offers an exciting and interesting learning experience for GANs. Understand the fundamentals, explore various architectures, and build conditional GANs. This course will help you gain knowledge in image generation and address social implications such as bias and privacy preservation. Hands-on training with PyTorch enables the creation and evaluation of advanced GANs. Suitable for learners at all levels, including those without advanced math or ML research background.
🆓 Free to Audit
🕒 Approx. 33 Hours
📈 Intermediate Level
🧾 Paid Certificate Available Upon Completion
🎓 Offered by DeepLearning.AI via Coursera
