GitHub - tediyang/Image_Classifier_App: This is a neural network terminal app built with a pre-trained model that could classify 100+ flower images.

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This is a neural network terminal app built with a pre-trained model that could classify 100+ flower images.

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Name		Name	Last commit message	Last commit date
Latest commit History 6 Commits
Image_Classifier.ipynb		Image_Classifier.ipynb
README.md		README.md
conversion.py		conversion.py
label_map.json		label_map.json
my_class_model.h5		my_class_model.h5
predict.py		predict.py

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Image Classifier App

This is a Deep Learner Terminal App that classify flower images and map them to their various names.

Tool
Language	Python
IDE	Vs Code / Jupyter notebook

Installation

We start by installing the following python libraries using your terminal, but note python 3 should have already been installed on your device.

Numpy - pip install numpy
Matplotlib - pip install matplotlib
TensorFlow - pip install tensorflow

To run the app

Open your windows, mac or linux terminal and run the python script. The procedure of how to use the saved model is explained when you run the python script.

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This is a neural network terminal app built with a pre-trained model that could classify 100+ flower images.

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