Welcome to the TensorFlow Repository for CIFA10 and MNIST Datasets!
This repository contains code and instructions for using the TensorFlow machine learning library to train and test models on two popular datasets: CIFA10 and MNIST.
The CIFA10 dataset is a collection of 60,000 32x32 color images in 10 classes, with 6,000 images per class. The MNIST dataset is a collection of 70,000 28x28 grayscale images of handwritten digits from 0 to 9.
This repository also includes example notebooks for each dataset. These notebooks provide step-by-step instructions for loading and preprocessing the data, defining and training a model, and evaluating the model's performance.