1112_Neural Network and Application
Course Period:Now ~ Any Time
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Course Intro

Course Plan

  • Course Introduction
  • Introduction and overview
  • chapter 1 _ Python Introduction
  • Chapter 2_Perceptron
  • Chapter 3_neural network
  • Chapter 4_neural network learning
  • Chapter 5_error backward propagation
  • Chapter 6_skill of neural network learning
  • Chapter 7_convolutional neural network(CNN)
  • Chapter 8_Deep Learning Application
  • package_module
  • Trained weights sample
  • ch5_layer_naive
  • common_functions
  • twolayer_reference
  • chapter 6_reference
  • final_reference
  • emnist_letter_download_link
  • Emnist_download & application_reference
  • emnist_letter_recognize_reference
Teacher / 

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白能勝
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LINE sharing feature only supports mobile devices