Fine-Tuning ResNet-18 with TensorFlow Model Garden for CIFAR-10 Classification

This tutorial walks you through fine-tuning a ResNet-18 model from TensorFlow’s Model Garden for classifying images in the CIFAR-10 dataset. You’ll learn how to set up the environment, configure the model, prepare the dataset, visualize training data, and run training/evaluation steps. By the end, you’ll have a tuned image classification model ready for export—perfect for applying state-of-the-art vision techniques to your own projects.