Friday, December 1, 2023

Creating liberating content

Lachung in Sikkim allows...

PTI | | Posted by Zarafshan Shiraz,...

Snowfall in Sonamarg, night...

PTI | | Posted by Zarafshan Shiraz,...

Yearend Travel: 10 best...

December 31 marks the last day on the...

New adventure zones in...

Tourists enjoying rides in kayaks and circular boat at the...
HomeNewsUpdatesAI Terminologies 101:...

AI Terminologies 101: Transfer Learning – Unlocking the Power of Pre-trained Models



Nucleus_AI ( )

Transfer Learning is a machine learning technique where a model trained on one task is adapted to perform well on a related, but different task. This approach can save time and resources by leveraging pre-existing knowledge and reducing the need for large amounts of new data. In this article, we will explore the concept of Transfer Learning, its underlying principles, and its applications across various domains.

Transfer Learning is a powerful technique in machine learning and artificial intelligence that allows researchers and developers to take advantage of pre-trained models to tackle new tasks. Key aspects of Transfer Learning include:

  1. Pre-trained Models: Models that have already been trained on a large dataset or specific task can be used as a starting point for Transfer Learning. These models have already learned valuable features and patterns that can be applied to related tasks.
  2. Fine-tuning: After initialising a model with the pre-trained weights, it can be further trained on a smaller dataset specific to the new task. This process, called fine-tuning, adapts the model to perform well on the new task while maintaining the knowledge gained from the original task.
  3. Domain Adaptation: Transfer Learning can be particularly effective when the original task and the new task share similar features or patterns, making it easier for the pre-trained model to adapt to the new domain.

Transfer Learning has been successfully applied in various domains, especially in fields like computer vision and natural language processing. In computer vision, pretrained models like VGG, ResNet, or Inception have been used to achieve state-of-the-art performance on image classification, object detection, and segmentation tasks. In natural language processing, models like BERT, GPT, and RoBERTa have been adapted for tasks like sentiment analysis, text classification, and machine translation.

Transfer Learning is a valuable technique in artificial intelligence and machine learning, enabling researchers and developers to build on the knowledge of pre-trained models to tackle new tasks more efficiently. As AI technologies continue to advance, the potential applications and benefits of Transfer Learning will become increasingly significant.

In future articles, we’ll dive deeper into other AI terminologies, like Graph Neural Networks, Federated Learning, and Feature Engineering. We’ll explain what they are, how they work, and why they’re important. By the end of this series, you’ll have a solid understanding of the key concepts and ideas behind AI, and you’ll be well-equipped to explore this exciting field further.





Source link

Get notified whenever we post something new!

spot_img

Create a website from scratch

Just drag and drop elements in a page to get started with Newspaper Theme.

Continue reading

Lachung in Sikkim allows tourists from Friday after October flash flood

PTI | | Posted by Zarafshan Shiraz, Gangtok The popular north Sikkim tourist destination, Lachung, which was affected by flash floods in early October, has been made accessible...

Snowfall in Sonamarg, night temperature rises at several places in Jammu and Kashmir

PTI | | Posted by Zarafshan Shiraz, Srinagar Jammu and Kashmir’s Sonamarg tourist resort recorded light snowfall for the second day on Friday while the Meteorological Department forecast...

Yearend Travel: 10 best places to celebrate New Year’s Eve

December 31 marks the last day on the Gregorian calendar and it is one of the oldest holidays in the Western cultures. The first known record of New Year’s celebrations began about 2000 B.C....

Enjoy exclusive access to all of our content

Get an online subscription and you can unlock any article you come across.