linkedin post 2019-07-07 08:51:02

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SO ENDS this first weekend on the theme of perfection in nature. Humans want to see order in the universe, stability, and perfection. Some of the recent ideas that humanity has encountered are those of chaos, instability and change, and imperfection. These ideas are unsettling to many, and to the collective consciousness that has been fed an ordered hierarchical world. And the quantum world in particular has put the fox in with the pigeons. View in LinkedIn
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linkedin post 2019-07-10 04:20:22

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MUTANT KILLS. "Mutation testing (or Mutation analysis or Program mutation) is used to design new software tests and evaluate the quality of existing software tests. Mutation testing involves modifying a program in small ways. Each mutated version is called a mutant and tests detect and reject mutants by causing the behavior of the original version to differ from the mutant. This is called killing the mutant. Test suites are measured by the percentage of mutants that they kill. New tests can be designed to kill additional mutants." https://en.m.wikipedia.org/wiki/Mutation_testing View in LinkedIn
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linkedin post 2019-07-09 04:12:06

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NON-HUMAN THINKING. "I wrote a chess playing AI, and it would play other AIs in the class. I would think that I saw the best move for it to take but the computer would always have a move I thought was non optimal, but every move had some hidden advantage I couldn't see. I couldn't even beat my ai when I played against it." Despite being the product of the programmer. https://www.reddit.com/r/todayilearned/comments/3d3vct View in LinkedIn
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linkedin post 2019-07-09 04:09:15

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LIMITED BY VISUALIZATION. "Sometimes with neural networks on images you can display the weights in the form of an image and see it select certain parts of the image but beyond that we don't have good ways of finding out what the weights mean." https://www.reddit.com/r/todayilearned/comments/3d3vct View in LinkedIn
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linkedin post 2019-07-09 04:06:06

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NEURAL NETWORKS. "These weights get refined by training algorithms. The classic being back propagation. You hand the network an input chunk of data along with what the expected output is. Then it tweaks all the weights in the network. Little by little the network begins to approximate whatever it is you're training it for." https://www.reddit.com/r/todayilearned/comments/3d3vct View in LinkedIn
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linkedin post 2019-07-09 04:03:57

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NODES AND WEIGHT. "Neural networks work as a bunch of nodes (neurons) hooked together by weighted connections. Weighted just means that the output of one node gets multiplied by that weight before input to the node on the other side of the connection. These weights are what makes the network learn things." https://www.reddit.com/r/todayilearned/comments/3d3vct View in LinkedIn
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