Last Week in AI DeepLearning.AI GANs for Good Panel + Q&A
Oct 4, 2020
Join Anima Anankumar, a machine learning research director at NVIDIA, Alexei Afras, a UC Berkeley professor specializing in computer vision, and Andrew Ng, founder of DeepLearning.AI, as they dive into the world of Generative Adversarial Networks (GANs). They discuss the transformative role GANs play in technology and creative arts, from improving unsupervised learning to their impact in natural language processing. The panel also addresses ethical considerations and the importance of diversity in AI, encouraging innovative approaches across industries.
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GAN Evaluation Challenges
- Evaluating GANs is difficult due to the lack of good automated metrics.
- Human evaluation remains crucial for assessing realism.
Focus on Impactful Work
- Don't stress about every new machine learning paper.
- Focus on impactful work and see if new trends persist.
Advocating for Change
- Find allies and support networks when advocating for change.
- Communicate effectively to raise awareness.