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Herbapedia - Machine Learning Documentation

About

This repository contains workbooks for building a CNN Model that will be deployed on the Herbapedia Cloud API. For more information regarding Herbapedia, head to this link.

Tools and Python Modules Used

  • Google Colab (Python Notebooks)
  • Google Drive (Dataset Storage)
  • Numpy v1.21.6
  • TensorFlow v2.8.2
  • TensorFlow.js v3.18.0
  • Keras v2.8.0
  • PIL v7.1.2

Training Results

Model achived 91% validation accuracy with a validation loss value of 0.2806.

image

Testing Trained Model

Model tested on self taken pictures, with accurate results.