Transfer Learning

Transfer learning is a technique that leverages a pre-trained neural network to solve a related problem with limited training data. The idea is to use the learned features from the pre-trained model as a starting point and fine-tune the network on the target task. This can save significant time and computational resources compared to training a deep learning model from scratch.