Jeremy Howard: fast.ai Deep Learning Courses and Research
Lex Fridman Podcast
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Innovations in Audio Technology and Deep Learning
This chapter explores the limitations of traditional microphones and the potential of using multiple sensors for improved audio capture, drawing parallels with advancements in photography. It discusses breakthroughs in noise background removal, the emerging audio library, and the significance of super convergence in deep learning for efficient model training. The conversation emphasizes the need for research into innovative techniques and the future of automation in deep learning methods.
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