This repo contains data set and code to train a convolutional neural network to correctly identify 102 different species of flowers.
- Install Anaconda from here
conda install pytorch-cpu torchvision-cpu -c pytorch
- Go to the Pytorch page
- From command prompt
jupyter notebook
- Navigate to the project folder and open "Image Classifier.ipynb"
pip install requirements.txt
python image_classifier.py
- Navigate to the cell block in the notebook and run the cell then test the model.