Fine-Tuning a Pre-Trained ResNet-18 Model for Image Classification with PyTorch
Fine-tuning a pre-trained model for an image classification task on a domain-specific problem can significantly reduce the time and computational resources required for training a deep neural network from scratch. In this tutorial, I will walk through the steps of fine-tuning a pre-trained ResNet-18 model on a custom dataset using PyTorch. Step 1: Load the pre-trained model let’s start by loading the pre-trained ResNet-18 model from the PyTorch model zoo. The PyTorch model zoo provides a collection of pre-trained models that can be used for various computer vision tasks....