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A convolution network neural network in Keras with Python using CIFAR-10 dataset

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Image-Classification

A convolution network neural network in Keras with Python using CIFAR-10 dataset

CIFAR-10: This dataset consists of 60,000 images divided into 10 target classes, with each category containing 6000 images of shape 3232. This dataset contains images of low resolution (3232), which allows researchers to try new algorithms. The 10 different classes of this dataset are:

Airplane
Car
Bird
Cat
Deer
Dog
Frog
Horse
Ship
Truck

This dataset is available in Keras

-------Executing the program-------

The program uses Tkinter python library for GUI Before executing, install Tkinter using sudo apt-get install python3-tk

Execute the file using ---------python3 gui.py-----

A demo gif is availble in the directory

https://github.com/jaffar99/Image-Classification/blob/56a7f6d52d7eb20c596272ac33ec48ff8de5eb96/Image-classification-project.gif

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A convolution network neural network in Keras with Python using CIFAR-10 dataset

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