AI News, The Beautiful Mind of NeuralNetworks

The Beautiful Mind of NeuralNetworks

I once heard a speaker on intellectual property say that “your dog knows where your property ends.” I’m not sure that my dog does, but if so, it would be an example of deriving an abstract rule from patterns of behavioral data.

There was a scene early in the movie A Beautiful Mind, where the mathematician John Nash, played by Russell Crowe, is taken to a room in the Pentagon and shown a wall filled with seemingly random digits.

It seemed a damning comment—whatever you were trying to do, there would be a dedicated approach that would be better than the generalized solution enabled by the structure of a neural network.

Since those early days of neural networks, computers have gotten so much more powerful, big-data sets have become ubiquitous, and neural networks have been enhanced with more layers and given a sophisticated mix of art and elegant mathematics for training.

Breakthroughs have been made in long-standing problems such as the recognition of handwriting, faces, and speech, while new areas have opened up in the labeling of images and in the navigation and control of autonomous vehicles.

Game Theory reveals the Future of DeepLearning

Game Theory reveals the Future of Deep Learning Credit: https://unsplash.com/search/game?photo=B4op5oZ4x5Q If you’ve been following my articles up to now, you’ll begin to perceive, what’s apparent to many advanced practitioners of Deep Learning (DL), is the emergence of Game Theoretic concepts in the design of newer architectures.

In fact, we’ve already seen this in DeepMind’s AlphaGo that uses partial knowledge to tactically and strategically best the world-best human in the game of Go.

fuzzy logic programs

fuzzy logic programs 31 Pins116 følgere Kunstig Intelligens IBM's Brain-Inspired Chip Tested for Deep Learning The deep-learning software driving the modern artificial intelligence revolution has mostly run on fairly standard computer hardware.

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Update: For a beginner's introduction to the concepts and abstractions needed to understand how neural nets learn and work, and for tips for preparing training data for your neural net, see the new companion video 'The Care and Training of Your Backpropagation Neural Net' at http://vimeo.com/technotes/neural-net-care-and-training .

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Update: For a beginner's introduction to the concepts and abstractions needed to understand how neural nets learn and work, and for tips for preparing training data for your neural net, see the new companion video 'The Care and Training of Your Backpropagation Neural Net' at http://vimeo.com/technotes/neural-net-care-and-training .

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