Last Updated on November 20, 2023 by Editorial Team
Author(s): Amit Chauhan
Originally published on Towards AI.
Pre-trained models in machine and deep learning
Photo by Arnold Francisca on Unsplash
In simple terms, it is a technique to use a trained model on the dataset that is run on a new, different dataset. The core idea is to take the knowledge of the trained model and apply it to a new but related application. This technique is more useful in the field of computer vision and natural language processing (NLP) because of large data that has semantic information.
What is the issue of training deep learning models from scratch?
It needs a lot of labeled data that takes more time and effort if not available publicly.It takes… Read the full blog for free on Medium.
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Published via Towards AI