May 1, 2024
Updated May 10, 2025
20 minute read
Fine-tuning, in the realm of artificial intelligence (AI) and machine learning (ML), is a process where a model that has already been trained on a large, general dataset is further trained on a smaller, more specific dataset. Think of it like a skilled chef who has mastered general culinary arts (pre-training) and then takes a specialized course to perfect the art of pastry making (fine-tuning). This allows the model to adapt its existing knowledge to a new, related task, often achieving better performance than if it were trained from scratch on the smaller dataset alone. Fine-tuning is a key technique that enables developers to leverage the power of massive pre-trained models and customize them for a wide array of specific applications.
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Reading list
We've selected six books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
Fine-tuning.
Provides a detailed introduction to deep learning using PyTorch and covers fine-tuning as a technique for improving model performance on specific tasks. The authors are leading researchers in the field of deep learning.
Provides a comprehensive overview of machine learning concepts, including fine-tuning, and is written by a leading researcher in the field. It great resource for understanding the theoretical foundations of fine-tuning.
Provides a comprehensive overview of transfer learning techniques for computer vision tasks, including fine-tuning. The authors are leading researchers in the field of computer vision.
Provides a comprehensive overview of transfer learning techniques for speech and language processing tasks, including fine-tuning. The authors are leading researchers in the field of speech and language processing.
Provides a comprehensive overview of deep learning techniques for natural language processing tasks, including fine-tuning. The author leading researcher in the field of natural language processing.
Provides a comprehensive overview of machine learning techniques for computer vision tasks, including fine-tuning. The author leading researcher in the field of computer vision.
For more information about how these books relate to this course, visit:
OpenCourser.com/topic/qcwn5z/fine