1111_Artificial Intelligence in Information and Communication Technology Applications_307924
Course Period：Now ~ Any Time
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Course Intro

Course Resources

  • AIML1 intro 2hr
  • AIML1 intro computer tools 1hr
  • AIML2 DNN 3.5hr
  • AIML2 DNN case study1.5hr RM DL NTUST 20201012 talk
  • AIML2 DNN lab 1 3 1hr
  • AIML3 Learning Methods 1.5hr
  • AIML3 Learning Methods RL lab7-9 1hr
  • AIML4 CNN 2.5hr
  • AIML4 CNN lab 5-1 BreastCancer ML course student report 2022 spring
  • AIML4 CNN lab256 1hr
  • AIML5 RNN LSTM and lab4 1hr
  • AIML5 RNN LSTM case study Polar decoder 2.5hr (NICT06 1.5hr)
  • AIML6 Analogizers 2hrs knn K-meas svm
  • AIML7 self attention transformer 1.5hr
  • AIML7 self attention transformer case study 2hr Video Chaptering
  • AIML8 3-4 hr Baysian Statistics (111-1) (optional)
  • AIML8 ch4-3 naive_bayes classifier 2hr
  • AIML9 ch3-1 Symbolists DT 2,5hr
  • AIML10autoencoder lab10-12 neural style trnasfer1.5-2hr
  • [錄] 09131830
  • [錄]AIML1 intro-1 09201839
  • [錄]AIML1 intro-2 09201932
  • [錄]AIML1 intro-3 09202023
  • [錄]AIML1 computer tool 09271834
  • [錄]AIML2-1 09271942
  • [錄]AIML2-2 09272021
  • [錄]AIML 2 DNN-3 10041831
  • [錄]AIML 2 DNN-5 10042021
  • [錄]AIML 2 DNN-4 10041941
  • [錄]AIML 2 DNN lab 10042033
  • [錄]AIML3 review and QA 10111959
  • [錄]AIML2 case study-2 10181930
  • [錄]AIML2 case study 10181833
  • [錄]AIML 3 Lab-2 10182022
  • [錄]AIML 3 Lab 10181945
  • [錄]AIML 4-1 10182031
  • [錄]AIML4 CNN-3 10251931
  • [錄]AIML4 CNN-2 10251831
  • [錄]AIML4 CNN lab 10251947
  • [錄]AIML5 RNN-1 10252043
  • [錄]AIML4 CNN lab-2 10252022
  • [錄]AIML5 RNN 11011835
  • [錄]AIML10 Autoencoder-2 11011942
  • [錄]AIML10 Autoencoder-1 11011904
  • [錄]AIML10 Autoencoder-3 11012024
  • [錄]AIML6-1 11081834
  • [錄]AIML6-2 11081933
  • [錄]AIML7-1 11082042
  • [錄]AIML6-3 11082021
  • [錄]AIML7-2 11151833
  • [錄]AIML7-3 11151936
  • [錄]AIML7 case study-1 11152028
  • [錄]AIML7 case study-1 11291831
  • [錄]AIML7 case study-2 11291931
  • [錄]AIML7 case study-3 11292022
  • [錄]AIML 8-1 12061835
  • [錄]AIML 8-3 12062022
  • [錄]AIML 8-2 12061932
  • [錄]AIML 9-1 12062038
  • [錄]AIML9-2 12131833
  • [錄]AIML9-4 12132023
  • [錄]AIML9-3 12131937
  • [錄] 12201905
  • [錄] 12202010
  • [錄] 12271914
  • [錄] 12271936
  • [錄] 01031845
  • [錄] 01101847
Teacher / 曾恕銘

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