• DeepLearningStudy
  • Introduction
  • First Chapter
  • Docker
  • 텐서플로우 설치 with Docker
  • asdf
  • Word2Vec
  • RNN
  • ReLu(Rectified Linear Unit)
  • Text Retrieval and Search Engines
  • Neural Networks for Machine Learning
  • 활성함수/비용함수
  • Lecture 11a Hopfield Nets
  • Lecture 11b Dealing with spurious minima in Hopfield Nets
  • Lecture 11c Hopfield Nets with hidden units
  • Lecture 11d Using stochastic units to improve search
  • Lecture 11e How a Boltzmann Machine models data
  • Lecture 12a The Boltzmann Machine learning algorithm
  • Lecture 12b More efficient ways to get the statistics
  • Lecture 12c Restricted Boltzmann Machines
  • Lecture 14a Learning layers of features by stacking RBMs
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Introduction

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자료출쳐

http://web.stanford.edu/class/cs20si/syllabus.html

https://github.com/chiphuyen/tf-stanford-tutorials

http://web.stanford.edu/class/cs20si/lectures/slides\_01.pdf

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