This project implements a deep learning–based image classification system to accurately distinguish between cats and dogs Using transfer learning with a pre-trained ResNet50 model

This tutorial demonstrates data augmentation: a technique to increase the diversity of your training set by applying random (but realistic) transformations, such as image rotation. You will learn how to apply data augmentation in two ways: Use the Keras preprocessing layers, such as tf. keras.