Demystifying Differentiable Neural Computers and Their Brain Inspired Origin (Luis Leal) |
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Luis Leal, data engineer/data scientist at Xoom/Paypal, discusses how machine learning and deep learning have proved to excel at pattern recognition tasks and represent state of the art models for computer vision, NLP, predictive applications and many artificial intelligence tasks. Neural networks represent a mathematical model of how scientists think the brain performs certain computations, but in decades they lacked of memories and memory/context recall characteristics of the brain. Although there’s recurrent neural networks (like LSTM) which handle memory and context, they can’t scale their memory size which prevents them from storing rich meaningful information over time and over contexts.
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