Machine Learning Repository Overview

Model Directory

The Model/ directory contains files related to the trained machine learning model.

• best_model.h5: Trained model saved in HDF5 format, representing the final product of the scripts.

• model_json/: Directory containing the TensorFlow.js conversion of the model.

  • model.json: Architecture and weights of the model converted to TensorFlow.js format.

Scripts Directory

The Scripts/ directory includes Jupyter Notebooks used for model development and testing.

• Scripts.ipynb: Notebook with scripts for building and training the machine learning model.

• Test.ipynb: Notebook containing scripts for testing the trained model's performance and functionality.

Usage

1. Clone the Repository:

   git https://github.com/cataract-bangkit/machine-learning.git
   cd machine-learning

2. Model Training:

• Upload Scripts.ipynb to Google Colab and execute the notebook to build and train the model using the provided datasets and parameters.

3. Model Testing:

• Upload Test.ipynb to Google Colab and execute the notebook to load the trained model and evaluate its performance on test data.