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CNN-for-Car-Recognition-using-Keras

Simple Image Classification using Convolutional Neural Network — Deep Learning in python.

This Jupyter notebook contains code for Car Recognizer. CNN is written in python language using Keras machine library which achieves over 96% accuracy.

The process of building a Convolutional Neural Network always involves four major steps.

Step 1: Convolution
Step 2: Pooling
Step 3: Flattening
Step 4: Full connection

Installation:

Install Tensorflow using pip install tensorflow
Install sklearn using sudo pip install sklearn
Install keras using sudo pip install keras
Install skimage using sudo pip install scikit-image

Run:

Use Jupyter notebook IDE

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Car Recognizer using Convolutional Neural Network — Deep Learning in python.

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