What techniques can be used to address class imbalance during fine tuning?

Jun 3, 2019 ... Fine-tuning is a super-powerful method to obtain image classifiers on your own custom datasets from pre-trained CNNs (and is even more powerful ... Sep 21, 2023 ... What is Fine-Tuning? Fine-tuning in deep learning is a form of transfer learning. It involves taking a pre-trained model, which has been ... May 24, 2019 ... It integrates the huggingface library with the fastai library to fine-tune the BERT model, with an application on an old Kaggle competition. Feb 25, 2025 ... AI model fine-tuning is the process that data scientists and machine learning (ML) engineers use to adapt a trained ML model to perform better ... The method leverages a combination of a long short-term memory (LSTM) network and random forests. A hybrid encoder-decoder model is designed, where a pre- ... Nov 21, 2017 ... Fine-tuning is a way of applying or utilizing transfer learning. Specifically, fine-tuning is a process that takes a model that has already been ... Jun 25, 2024 ... The key is to adjust the network to work well with the specific data you're using, so it can make good predictions. Dec 10, 2024 ... Fine-tuning improves the performance of a pre-trained model for a specific use case by tailoring it to a specific task. The process adjusts the ... This paper examines how well deep networks can diagnose various cancers using histopathology image processing. Understanding How Pre-trained Language Models Work. The Language Model is a type of machine learning algorithm designed to forecast the subsequent word in a ...