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The AI Podcast
Ep. 2: Where Deep Learning Goes Next - Bryan Catanzaro, NVIDIA Applied Deep Learning Research
Dec 1, 2016
Bryan Catanzaro, NVIDIA's VP for deep learning research, discusses AI technology evaluation, AI-powered speech potential, and upcoming deep learning breakthroughs. Topics include speech recognition evolution, emotional sophistication in AI, AI in video games, style transfer in digital art, and deep learning in urban planning.
32:52
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Quick takeaways
- Deep learning excels in mapping input to output using large datasets across image classification and speech recognition.
- Advancements in speech recognition enable seamless human-computer interactions and biofeedback systems for improved user experience.
Deep dives
Flexibility of Deep Learning
Deep learning is highly flexible as it excels in finding mappings from input to output domains based on large datasets. Its success spans various fields like image classification, where computers surpass human ability in recognizing objects, from cats to medical anomalies. Deep learning systems can even outperform humans in specific tasks, such as Chinese speech recognition.
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