[Solved] ECE495-Assignment 3 Training a Deep Network for Semantic Segmentation

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File Name: ECE495_Assignment_3_Training_a_Deep_Network_for_Semantic_Segmentation.zip
File Size: 649.98 KB

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  • Learn PyTorch and helper libraries
  • Understand VOC Semantic Segmentation Dataset
  • Create data transforms to augment the dataset
  • Create the neural network
  • Train and evaluate the neural network

Resources and Instructions Environment Setup:

We recommend using Google Colab to complete this assignment.

Upload the assignment ipynb file to google collab

  • Runtime -> change runtime type
  • Set hardware accelerator to GPU

Assignment:

Complete the two sections within the ipynb assignment file and run all cells. Reviewing the tutorial powerpoint and mnist ipynb file will be helpful.

Deliverable HTML output:

In the Jupyter notebook, go to File > Download as > HTML (.html) Submit a ZIP file containing the

HTML output. Please follow the naming convention of your zip file: a3_<user_id>.zip

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[Solved] ECE495-Assignment 3 Training a Deep Network for Semantic Segmentation[Solved] ECE495-Assignment 3 Training a Deep Network for Semantic Segmentation
$25