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ml4ns_assign1.md

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ML for Natural Science Assignment1

  • SubTask 1: To train a model that overfits provided dataset with 70%+ accuracy in the dataset provided.
  • SubTask 2: To divide the dataset appropriately, and plot training, validation accuracy/loss.
  • SubTask 3: The code should have option to save/load model weights and do only a pass to compute validation accuracy.
  • SubTask 4: The code should be able to train in Ada(any remote server) on gpu.

Assignment Goals:

  • Literature Reviewing( Reading)
  • Gaining understanding of different Deep Learning Techniques through hands-on application.
  • Following the Honor Code.

Setting Up and running the Code by evaluators on their machine

  • Clone the repo:- git clone https://github.com/prtk1729/Digit_Sum_ml4ns.git

  • The evaluators need to fill in their credentials inorder to clone the repo.

  • The above command creates a folder ==> 'Digit_Sum_ml4ns'

  • cd Digit_Sum_ml4ns

  • We need to unzip the train_set.zip and val_set.zip

Setting Up and running the Code by evaluators on their machine

  • Clone the repo: "git clone https://github.com/prtk1729/Annotation-Tool.git" inside the above created folder.

  • Once the repo is cloned navigate to - <ann_tool>/Annotation-Tool/anaconda/anaconda

  • Activate a venv/ a conda environment with (python 3.6 or higher) and type "pip install -r requirements.txt".Alternatively, We could simply type this command if we have pip installed with (python 3.6 or higher) without creating a new environment.