4. What are the strengths and limitations of this specialization?

Strengths:

• Highly rated (4.7/5) from 2,000+ learners.
• Strong practical components: interactive labs, Jupyter Notebooks, and real-world GAN implementations.
• DeepLearning.AI’s expert instruction and hands-on emphasis enhance learning.

Limitations:

• Focused on GAN techniques—does not cover newer generative methods like diffusion models.
• GANs can be tricky to train (e.g., instability, mode collapse), requiring patience and careful tuning.
• Intensive time commitment—not ideal for quick overview learners.