machine learning - 삼성 오픈소스 컨퍼런스 · references • playing atari: •...
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MACHINE LEARNING
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Y = W · X ?
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NEURAL NETWORK
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DEEP LEARNING
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SUPERVISED LEARNING
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[r, g, b] [r][g][b]
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Y = W · X ?
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FINDING WEIGHTS
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FUNCTION FINDER
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REFERENCES
• Playing Atari: https://www.youtube.com/watch?v=V1eYniJ0Rnk
• Algorithm: https://wiki.python.org/moin/SimplePrograms
• Machine Learning: http://machinelearningmastery.com/basic-concepts-in-machine-learning/
• Universal Gate: http://gatedesignsnorit.blogspot.kr/2015/06/design-and-gate-using-2-1-mux.html
• CPU: https://www.intel.com/pressroom/archive/releases/2008/20081117comp_sm.htm
• Perceptron: http://www.fico.com/en/predictive-analytics/analytic-technologies/neural-networks
• Activation Function: https://en.wikipedia.org/wiki/Activation_function
• Multilayer Perceptron: http://stackoverflow.com/questions/5794954/determining-bias-for-neural-network-
perceptrons
• AlexNet: https://papers.nips.cc/paper/4824-imagenet-classification-with-deep-convolutional-neural-networks
• Deep Learning Cat: https://cloud.google.com/blog/big-data/2016/07/understanding-neural-networks-with-
tensorflow-playground
• Neural Network Code: https://harthur.github.io/brain/
• Dimension: https://www.tensorflow.org/versions/r0.12/tutorials/mnist/beginners/index.html
• Weights: https://en.wikipedia.org/wiki/Mixing_console
• Learning to Swing: https://www.youtube.com/watch?v=q8i6wHCefU4
• TensorFlow Playground: http://playground.tensorflow.org/
• Fourier Transform: http://phys.org/news/2012-01-faster-than-fast-fourier.html
• Universal Approximation Theorem: https://www.youtube.com/watch?v=SahmdQs6X74
• WaveNet: https://deepmind.com/blog/wavenet-generative-model-raw-audio/
• Doom: https://www.youtube.com/watch?v=oo0TraGu6QY
• Google Data Centers: https://www.wired.com/2012/10/ff-inside-google-data-center/
• See You: https://www.nasa.gov/feature/jpl/an-insiders-guide-to-voyager-1977-2017/