1111_機器學習(電子碩選)
上課期間：從 即日起 到 無限期
LINE分享功能只支援行動裝置
課程介紹
課程安排
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Course Introduction
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what is machine learning?
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How do we install Unity and Visual Studio?
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Form: what is machine learning?
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week3: the differences between AI, ML, DL, DS
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week3: Form (AI_ML_DL_DS)
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week4: supervised machine learning
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week4: Form (supervised ML)
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midterm_preparation
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week5: unserpervised machine learnin
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week5: Form(unsupervised ML)
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midterm_presentation arrangement
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week5: unity script_keyboard control object to move and rotate
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week5: in-class unity practice
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week6: genetic algorithm1/2
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week6: genetic algorithm2/2
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week6: Form(genetic algorithm)
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week6: presentation tip
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week6: check mid-term presentation arrangement
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week7: mid-term presentation upload
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week8: mid-term presentation
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week9: mid-term presentation 11/11
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week10: genetic algorithm in Unity3D
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week10: form(GA in unity3D)
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week11: final-term presentation assignment
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week11: is the journal SCI/SSCI
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week11: GA program - DNA.cs
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week11: GA program -PopulationManager.cs
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week12: deep learning and neural network 1/3
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week12: deep learning and neural network 2/3
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week12: deep learning and neural network 3/3
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week12:form(deep learning and NN)
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week13: gamification and ML
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final presentation assignement
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week13: video (gamification and ML)
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week14: final-term presentation
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week14: final term presentation_ feedback (between teams)
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week14: ML presentation_Deep Reinforcement | CNN
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week15: ML_Reinforcement | transfer learning Learning
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week16: ML presentation_Semi-Supervised Learning | various ML methods comparisons
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week17: ML presentation_Reinforcement Learning |
教師 /
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