Cifar-Data-Classification--TensorFlow-Keras

The repository contains simple tensorflow keras model classifying Cifar 10 images. The model classifies 4 objects (bird, cat, dog, horse). CIFAR-10 is an established computer-vision dataset used for object recognition. It is a subset of the 80 million tiny images dataset and consists of 60,000 32x32 color images containing one of 10 object classes, with 6000 images per class.

Code

1. Introduction
2. Import and Preprocess the data
   1. Import all required libraries
   2. Import and preproces of data
   3. Distribution of data.
3. Defining the model architecture Using ConVnets
4. Model training
5. Evaluate the model
   1. Training and validations cuvre
   2. Score trained model and prediction.
   3. Classification report.
   4. Check for the predictions.

Data

• The data is sorted and distributed into serparate folders. Just download the dataset from below link.

• https://drive.google.com/drive/folders/101sanWS9m1PjJII5gt7Hxp6axlH0Uw96?usp=sharing