1131_Neural Network_338599
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Course Intro

Course Resources

  • (20240910)0_Syllabus and Overview01
  • (20240924)1_Introduction to Neural Network01
  • [錄] 09241514
  • (20241001)2_Artificial Neural Network Architectures and Training Processes01
  • (20241001)3_Rosenblatt Perceptron02
  • [錄] 10011416
  • (20241008)4_ADALINE Network and Delta Rule01
  • (20241008)HW1_Simple perceptron01
  • [錄] 10081315
  • (20241015)5_Multilayer Perceptron Networks04
  • [錄] 10151314
  • [錄] 10221316
  • (20241029)6_Application of MLP01
  • [錄] 10291315
  • (20241105)7_Auxiliary Characteristics of MLP01
  • (20241105)8_Radial Basis Function Networks01
  • (20241105)HW2_MLP applications01
  • [錄] 11051314
  • (20241112)9_Recurrent Hopfield Networks02
  • [錄] 11121313
  • [錄] 11191313
  • [錄] 11191514
  • (20241119)HW3_Associative Memories using Hopfield Network01
  • (20241119)10_Self-Organizing Kohonen Networks02
  • [錄] 11261314
  • (20241126)11_Learning Vector Quantization01
  • (20241126)HW4_Self-Organizing Network01
  • HW4_SOM_dataset
  • [錄] 12101314
  • (20241210)13_Adaptive Resonance Theory Networks03
  • [錄] 12171317
  • [錄] 12171512
  • [錄] 12171417
  • (20241217)HW6_Classification by ART-101
  • (20241217)HW5_Power consumption by LVQ01
  • [錄] 12241319
  • [錄] 12241413
  • [錄] 12241518
  • (20241217)14_Convolutional Neural Networks03
  • [錄] 12311313
  • [錄] 12311412
  • (20250107)15_Recurrent Neural Network03
  • 類神經網路_作業繳交狀況_export
  • 成績彙整03
Teacher / 蔣政諺

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