Practical AI Learning to learn deep learning đź“–
Jun 8, 2021
Discover cutting-edge AI advancements like the unsupervised speech recognition model, wav2vec-u, which could revolutionize data collection. The discussion also highlights the evolving landscape of deep learning and the significance of personal expertise in AI development. Strategies for fostering AI initiatives in organizations are shared, alongside the transformative role of generative adversarial networks in enhancing audio transcription for underrepresented languages. Finally, the importance of lifelong learning and navigation in the AI field is emphasized.
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Mentoring Newcomers
- When advising newcomers, consider their existing passions and interests.
- Help them build upon their current knowledge and explore diverse areas.
Demonstrating Practical AI Skills
- Building diverse implementations of a single model demonstrates practical AI skills.
- Consider creating REST APIs, user interfaces, and batch processing capabilities.
Evolutionary Phase
- Deep learning has shifted from revolutionary architectures to implementation.
- The focus is now on applying existing models rather than inventing new ones.
