Transfer learning is a revolutionary approach in machine learning that involves taking a pre-trained model on one task and repurposing it for another related task. This method has significantly impacted the field by reducing the need for large labeled datasets and extensive computational resources, making advanced machine learning more accessible and efficient. Understanding Transfer Learning…
The field of machine learning has experienced exponential growth over the past few decades, evolving from simple linear models to complex neural networks capable of performing tasks that were once deemed impossible for machines. This evolution has been marked by significant milestones, each introducing new capabilities and opening up unprecedented applications across industries. The Beginnings:…