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Topics covered include - Understanding how the brain works - Why we need unsupervised local objective functions - Masked auto-encoders - Current methods in end to end learning - Spiking neural networks - Leveraging spike times - The story behind AlexNet
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- Transition from pure academia to Google - The secret auction of Hinton’s company at NeurIPS - Hinton’s start in psychology and carpentry - Why computers should be grown rather than manufactured - The function of sleep and Boltzmann Machines - Need for negative data
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Also, not only is this episode longer than most already, stay tuned for part 2 next week, where we'll cover a bunch of the audience questions shared with us on twitter! Yes, isn't only genius, but was also incredibly generous with his time! 🙏
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