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- Deep Learning without Backpropagation Tutorial: DeepMind's Synthetic Gradients
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- Hands-On Machine Learning with Scikit-Learn and TensorFlow
- Google Cloud TF-GPU Setup for Ubuntu 16.04
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- 카프카 운영자가 말하는 카프카 서버 실전 로그 분석
- Why AlphaGo Is Not AI
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- Stanford CS224N tensorflow lecture
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- The most detailed maps of the world will be for cars, not humans
- Machine Learning in Python
- Unless You’re Oprah, ‘Be Yourself’ Is Terrible Advice.
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- Tutorial on Convolutional Neural Networks(CNNs) for image recognition
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- 읽을거리
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- Hierarchy is either strictly constrained or it is indefensible
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- Research Debt
- "같이 풀어볼까?" 독특한 한예종 입학시험 실제 기출 문제 30개!
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- Has lithium-battery genius John Goodenough done it again? Colleagues are skeptical
- Tears
- At midnight on March 20, 2017, Dolby's last relevant patent on Dolby Digital expired.
- The productivity paradox
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- It took the inventor of the Rubik’s Cube a month to solve his own puzzle
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- NHK원전 멜트다운 위기의 88시간
- If You Think You’re a Genius, You’re Crazy
토요일, 3월 25, 2017
[B급 프로그래머] 3월 4주 소식(빅데이터/인공지능, 읽을거리 부문)
(오늘의 짤방: Q. 그림은 2차 세계 대전에서 작전 수행 후 귀환한 폭격기들의 피탄 장소를 나타낸 것이다. 이 그림을 보고 폭격기의 방어력을 증가시킬 부분은 어디인가? A. 피탄 흔적이 하나도 없는 곳. 그 곳을 공격당한 폭격기는 귀환하지 못한 것이니까 via @zpdldlfrkwl)
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