Deep learning neural networks

Deep learning neural networks are the most exciting recent technological and scientific development. Technologically, they are soundly beating competing approaches in a wide variety of contests including speech recognition, image recognition, image captioning, sentiment analysis, translation, drug discovery, and video game performance. This has led to massive investments by the big technology companies and the formation of more than 300 deep learning startups with more than $1.5 billion of investment. Scientifically, these networks are shedding new light on the most important scientific question of our time: “How do we represent and manipulate meaning?” Many theories of meaning have been proposed that involve mapping phrases, sounds, or images into logical calculi with formal rules of manipulation. For example, Montague semantics tries to map natural language phrases into a typed lambda calculus.…

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