What are the key considerations when adapting fine-tuning techniques to new and emerging deep learning architectures?

Chong Zhang 1, (张翀) Student Member, CCF,; Hong-Zhi Wang 1, (王宏志) Senior Member, IEEE, Member, CCF,; Hong-Wei Liu 1, , (刘宏伟) Member, CCF, ... Apr 18, 2022 ... In this article, we investigate the transfer learning of deep convolutional neural networks for the detection of maize leaf diseases. In this paper, we demonstrate that transfer learning and fine-tuning can significantly improve the accuracy of liver lesion classification, especially for small ... Learn the fundamentals of finetuning a large language model (LLM). Understand how finetuning differs from prompt engineering, and when to use both. Oct 15, 2024 ... ... Fine-tuning deep learning architectures for early detection of oral cancer. In: 2nd International Symposium on Mathematical and ... Oct 31, 2024 ... Exx-Blog-5-Tips-for-Fine-Tuning-LLMs. Deep Learning. Top 5 Tips for Fine-Tuning LLMs. October 31, 2024 11 min read. Why Fine-Tuning Matters? Dec 15, 2023 ... Deep learning practice is increasingly driven by powerful foundation models (FM), pre-trained at scale and then fine-tuned for specific ... Jan 27, 2025 ... ... learning, in both children and in deep learning. There is 1) imitation learning (watch and repeat, i.e. pretraining, supervised finetuning) ... Jan 10, 2025 ... Specialization: Fine-tuning lets you customize a model to excel at a specific task. It's like tailoring a versatile suit to fit an individual. Aug 24, 2016 ... Here in Part 2, I describe Deep Convolutional Neural Networks (DCNNs) and how Transfer learning and Fine-tuning helps better the training process for domain ...