For part 1: Environment Preparationdirectory:https://github.com/bnsreenu/python_for_microscopists/tree/master/228_semantic_segmentation_of_aerial_imagery_using_unetpseudocode for github repository...

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For part 1: Environment Preparation

directory:https://github.com/bnsreenu/python_for_microscopists/tree/master/228_semantic_segmentation_of_aerial_imagery_using_unet

pseudocode for github repository part

For part 2

Perform Baseline Semantic Segmentation

link for dataset: https://www.kaggle.com/datasets/humansintheloop/semantic-segmentation-of-aerial-imagery

link of video:https://youtu.be/jvZm8REF2KY

For part 3:Hyperparameter Optimization using method Anneal

Improve baseline performance using HPO anneal method

for part 4: Neural Architecture Search using GridSearch

for part 5:

link for Knowledge Distillation (KD):https://nni.readthedocs.io/en/stable/sharings/kd_example.html

Answered 10 days After Oct 29, 2022

Solution

Amar Kumar answered on Nov 09 2022

46 Votes

SOLUTION.PDF