How to Improve Performance in Transfer Learning
In machine learning, transfer learning is a technique where a pre-trained model, developed for one task, is reused as the starting point for another similar task. This can be a huge timesaver, as it reduces the time and computational resources required to train models from scratch. In this blog post, we will discuss how to use this technique to improve performance in image classification tasks, specifically using TensorFlowJS and the MobileNetV2 model....