chalbo-repo

To view the visualization: Link

This repository contains the work of the assignment given, details about how to use the scripts and view the output are listed below.

Project Structure:

├── chalbo-task.pdf
├── experiments
│   ├── modularcnn.ipynb
│   ├── very_modularcnn.ipynb
│   ├── vgg_pretrained.ipynb
│   └── vgg_scratch.ipynb
├── main.py
├── models.py
├── README.md
└── requirements.txt

models.py: Contains the code for the two neural networks VerySmallCNN and SmallCNN. main.py: Contains the inference script to actually run the code. It performs the data transformations, importing the datasets, and training as well as evalutation.

To install the dependencies:

You can use the requirements.txt file and enter this command in your terminal.

pip install -r requirements.txt

WARNING: Please use a virtual/conda environment for package isolation and just overall practice.

To run the model:

Running the models is as simple as entering: python main.py in your terminal. If you would like to use the SmallCNN() instead, uncomment that line and make the necessary changes, wherever specified in the file.

In-depth details about the lines of code and their outputs are in chalbo-task.pdf.

License:

This code is not to be used publicly in any way. Done by Akshath Mangudi.