What are some examples of transfer learning in other areas of machine learning and artificial intelligence?

Jan 31, 2025 ... Transforming a foundation LLM into a solution that meets an application's needs requires a process called fine-tuning. May 10, 2024 ... The model's complexity was streamlined using the GAP layer and CBAM, ensuring a focus on vital features. Additionally, a hybrid pre-processing ... What is fine-tuning in machine learning and AI? ... Fine-tuning is the process of taking a pretrained machine learning model and further training it on a smaller, ... After pre-training the network, we use the spike-based gradient descent BP algorithm to fine-tune the synaptic weights end-to-end in a manner that minimizes ... Jan 24, 2022 ... Create training data · With your imagery selected in the Contents pane, go to the Imagery tab on the top ribbon and click Classification Tools > ... In this section, we will introduce a common technique in transfer learning: fine-tuning. As shown in Fig. 14.2.1, fine-tuning consists of the following four ... May 1, 2018 ... Transfer learning is when a model developed for one task is reused to work on a second task. Fine-tuning is one approach to transfer ... Fine-tuning (deep learning) ... In deep learning, fine-tuning is an approach to transfer learning in which the parameters of a pre-trained neural network model ... 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, ... Barakat, Basel and Huang, Qiang. 2024. 'Enhancing Transfer Learning Reliability via Block-wise Fine-tuning'. In: 2023 International Conference on Machine ...