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This repo contains data set and code to train a convolutional neural network to correctly identify 102 different species of flowers.

License: MIT License

Jupyter Notebook 42.31% Python 1.07% HTML 56.62%

flower-image-classifier-cnn's Introduction

Flower-Image-Classifier-CNN

This repo contains data set and code to train a convolutional neural network to correctly identify 102 different species of flowers.

To Use Anaconda (Recommended)

  • Install Anaconda from here

To install on cpu (not the best option)

  • conda install pytorch-cpu torchvision-cpu -c pytorch

To install on gpu

  • Go to the Pytorch page

Launch Jupyter from command prompt/terminal

  • From command prompt jupyter notebook
  • Navigate to the project folder and open "Image Classifier.ipynb"

To Use Pip (Not recommended)

To install dependencies

pip install requirements.txt

To train the model

python image_classifier.py

To Simply Load the Model

  • Navigate to the cell block in the notebook and run the cell then test the model.

flower-image-classifier-cnn's People

Contributors

evaezekwem avatar

Watchers

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