A Basic Deep Learning Project using CNN
Notebook used : Google Colab
(Tensorflow Version 1.x Used)

1> CIFAR-10 is a dataset that consists of several images divided into the following 10 classes:
Airplanes, Cars, Birds, Cats, Deer, Dogs, Frogs, Horses, Ships, Trucks.
The dataset stands for the Canadian Institute For Advanced Research (CIFAR).
2> CIFAR-10 is widely used for machine learning and computer vision applications.
3> The dataset consists of 60,000 32x32 color images and 6,000 images of each class.
4> The Images have low resolution (32x32).
Data Source: https://www.cs.toronto.edu/~kriz/cifar.html

To Predict : The Type/Class of Image Provided.

If you're working on a Local Machine, Install the dependencies from your terminal with >> "pip install -r requirements.txt"