Deep Learning for Image Classification (TensorFlow 2.0)

This project uses TensorFlow 2.0 to implement deep learning models for image classification. It covers various architectures such as CNN, VGG16, and ResNet, with pre-trained models for quick deployment. The repository includes scripts for data preprocessing, training, evaluation, and prediction, making it easy to adapt for various image classification tasks.