What are the strategies for retraining or re-fine-tuning models when new data becomes available?

Oct 15, 2024 ... ... Fine-tuning deep learning architectures for early detection of oral cancer. In: 2nd International Symposium on Mathematical and ... Apr 18, 2025 ... Hello I am trying to fine tune the " High Resolution Land Cover Classification - USA " deep learning model for a region of interest in ... Oct 3, 2016 ... A Comprehensive guide to Fine-tuning Deep Learning Models in Keras (Part I) · 1. The common practice is to truncate the last layer (softmax ... Jul 13, 2023 ... Fine-tuning to another language ... What is the best option, if we need a model for a downstream task in another language from the base model? This FITML workshop aims to contribute to the recent radical paradigm shift for fine-tuning in modern machine learning, theoretically, computationally, and ... Jun 26, 2024 ... PDF | Tasks like SAR ship classification suffer in deep learning due to data scarcity and class imbalance. To overcome these challenges, ... Sep 30, 2020 ... Experiment Manager is an app for training, fine-tuning, and explaining your deep learning networks under a variety of initial conditions. Dec 4, 2019 ... We then combine BERT with a one-dimensional convolutional neural network (1d-CNN) to fine-tune the pre-trained model for relation extraction. Mar 16, 2020 ... This paper presents segmentation of multiple organ regions from non-contrast CT volume based on deep learning. Also, we report usefulness of fine-tuning. Feb 28, 2025 ... For the learning rate during fine-tuning, we often use a value up to 10 times smaller than usual. As a result, our model will try to adapt ...