Transfer Learning: A Deep Learning Approach
In Deep Learning, lots of data and processing power are often required to develop models operating at the cutting edge. This conventional method performs pretty well but suffers from two disadvantages: first, the labelled data can be large amounts, and second, it is a really long training time. Let us introduce you to the really powerful deep learning technique that has been widely used in recent times-Transfer Learning. Here, using pre-trained models and adapting them to new tasks, it reduces large datasets and also computational resources. What is Transfer Learning? Transfer Learning is a technique of deep learning technique in which the model trained for one task may be used to work on another related task. Instead of training a model from scratch, which can be time and resource-intensive, we utilize pre-trained models as starting points and fine-tune them for new tasks. This is particularly useful when we have very limited data labelled for the new task since the pre-trained mod