GDSC-ML Team Interview Task

Aayush.

Last update: Jan 19, 2022

Related tags

Deep Learning GDSC-ML-Team---Interview-Task

Overview

GDSC-ML-Team---Interview-Task

Task 1 : Clean or Messy room

In this task we have to classify the given test images as clean or messy.

- Detailed explanations and code please go to the .ipynb

- For outputs and step-by-step explanation please visit Kaggle Notebook

📝 Note-

Please go to Kaggle notebook for running code, because I haven't imported it to the Google Drive.

Thank you 😃

Hope you'll like it.

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Owner

Aayush.

Code blooded animal 👾|| Linux is ❤️|| Raspberry pi is ❤️|| Learning iOS app development.|| student by profession.👨🏻‍🎓

GitHub

GDSC-ML Team Interview Task

Related tags

Overview

GDSC-ML-Team---Interview-Task

Task 1 : Clean or Messy room

In this task we have to classify the given test images as clean or messy.

- Link for dataset

- Detailed explanations and code please go to the .ipynb

- For outputs and step-by-step explanation please visit Kaggle Notebook

📝 Note-

Please go to Kaggle notebook for running code, because I haven't imported it to the Google Drive.

Thank you 😃

Hope you'll like it.

You might also like...

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Pytorch implementation of the popular Improv RNN model originally proposed by the Magenta team.

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Multi Task RL Baselines

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A list of multi-task learning papers and projects.

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