1141_Neural Network_350559
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Course Intro
Course Resources
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(20250909)0_Syllabus of NN01
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(20250909)1_Introduction to Neural Network02
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(20250916)2_Artificial Neural Network Architectures and Training Processes01
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(20250923)3_Rosenblatt Perceptron02
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(20250930)4_ADALINE Network and Delta Rule02
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(20250930)5_Multilayer Perceptron Networks04
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(20250930)HW1_Simple perceptron01
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(20251014)6_Application of MLP01
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(20251014)HW2_MLP applications01
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HW2_MLP_dataset
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(20251021)7_Auxiliary Characteristics of MLP01
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[錄] 10211316
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(20251028)8_Radial Basis Function Networks01
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(20251028)9_Recurrent Hopfield Networks02
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[錄] 10281330
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[錄] 11041320
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(20251104)HW3_Associative Memories using Hopfield Network01
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(20251104)10_Self-Organizing Kohonen Networks02
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[錄] 11181317
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(20251118)11_Learning Vector Quantization01
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(20251118)HW4_Self-Organizing Network01
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HW4_SOM_dataset
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[錄] 11251319
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(20251125)HW5_Power consumption by LVQ01
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(20251125)12_Counter Propagation Networks01
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(20251125)13_Adaptive Resonance Theory Networks04
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[錄] 12021319
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[錄] 12021518
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(20251202)14_Convolutional Neural Networks03
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[錄] 12091316
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(20251209)HW6_Classification by ART-101
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[錄] 12161316
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[錄] 12231326
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[錄] 12301524
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[錄] 01061410
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