AWINLAB_hw Project guide

Author: SamChen 2023/03/25

Quick guide for this project, each question organized in respectively folders. README.md in each folder demostrate workflow & result.

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Question 1: Deep learning

1. Directory organization

   • Project root folder: Deep_learning
   • Results storage: Deep_learning/output
   • Main Program(.ipynb): Deep_learning/main.ipynb

2. More details in README.md in Deep_learning folder

3. Prediction showcase (Precision: 88.31%)

   Random choose 15 prediction result (test set: 26 cases in total), gain 15/15 correct (prediction & ground truth, respectively, shown in bellow)

   

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Quesiton 2: Meta-heuristic algorithm

1. Directory organization

   • Project root folder: Meta_heuristic Algorithm
   • Results storage: Meta_heuristic Algorithm/output
   • Main Program(.ipynb): Meta_heuristic Algorithm/01-knapstack.ipynb

2. More details in README.md in Meta-heursistic Algorithm folder

3. Resut showcase (The global optimal selection for 0/1 knapsack problem is 1458, under knapsack capacity 750)

   

End of the quick guide