1111_Machine Leraning
Course Period：Now ~ Any Time
LINE sharing feature only supports mobile devices
Course Intro
Course Plan
-
Course Introduction
-
what is machine learning?
-
How do we install Unity and Visual Studio?
-
Form: what is machine learning?
-
week3: the differences between AI, ML, DL, DS
-
week3: Form (AI_ML_DL_DS)
-
week4: supervised machine learning
-
week4: Form (supervised ML)
-
midterm_preparation
-
week5: unserpervised machine learnin
-
week5: Form(unsupervised ML)
-
midterm_presentation arrangement
-
week5: unity script_keyboard control object to move and rotate
-
week5: in-class unity practice
-
week6: genetic algorithm1/2
-
week6: genetic algorithm2/2
-
week6: Form(genetic algorithm)
-
week6: presentation tip
-
week6: check mid-term presentation arrangement
-
week7: mid-term presentation upload
-
week8: mid-term presentation
-
week9: mid-term presentation 11/11
-
week10: genetic algorithm in Unity3D
-
week10: form(GA in unity3D)
-
week11: final-term presentation assignment
-
week11: is the journal SCI/SSCI
-
week11: GA program - DNA.cs
-
week11: GA program -PopulationManager.cs
-
week12: deep learning and neural network 1/3
-
week12: deep learning and neural network 2/3
-
week12: deep learning and neural network 3/3
-
week12:form(deep learning and NN)
-
week13: gamification and ML
-
final presentation assignement
-
week13: video (gamification and ML)
-
week14: final-term presentation
-
week14: final term presentation_ feedback (between teams)
-
week14: ML presentation_Deep Reinforcement | CNN
-
week15: ML_Reinforcement | transfer learning Learning
-
week16: ML presentation_Semi-Supervised Learning | various ML methods comparisons
-
week17: ML presentation_Reinforcement Learning |
Teacher /
Related Courses
|
|
||||||
|
|
|
||||||
|
|
|
||||||
|