Comments (1)
An absolutely wonderful paper. And for the lazy, the main contents have been made available by Alex on YouTube. I strongly recommend anyone with an interest in machine learning, associative memory, and maybe even the underpinning of what makes us conscious and alive. This field show tremendous promise in the future. Really, check it out, and decide for yourself.
I'd recommend you to go through the video links in the order that they have been outlined on
http://knowm.org/learn/
For those who prefer YouTube to Vimeo, the same videos are made available at the Knowm.org YouTube channel. If you decide to watch them on YouTube, I'd still recommend for you to watch them in the order as presented on http://knowm.org/learn/
Have a lovely time watching :) I'd be more than happy to discuss anything related to this, or any thoughts you may have when watching them or thinking about the implications of this emerging technology.
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Related Issues (20)
- review: Yoshizawa, Shuji, Masahiko Morita, and Shun-Ichi Amari. "Capacity of associative memory using a nonmonotonic neuron model." Neural Networks 6.2 (1993): 167-176. HOT 1
- report: Introduction
- report: Introduction, Aim and Objectives
- report: Introduction, Hebbian Learning
- report: Models of Associative Memory
- report: Models of Associative Memory, Hopfield Network
- report: Models of Associative Memory, Boltzmann Machine
- report: Models of Associative Memory, Memory Resistor
- report: Current Capabilities
- report: Current Capabilities, Hopfield Network
- report: Current Capabilities, Boltzmann Machine
- report: Current Capabilities, Memory Resistor
- report: Future Potential
- report: Future Potential, Intelligent Systems
- report: Future Potential, Energy Efficiency
- report: Conclusion
- report: Abstract
- review: Knowm
- review: Numenta, NuPIC
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from associative_memory.