How can automated machine learning (AutoML) be used to optimize the fine-tuning process?

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. Jan 27, 2025 ... ... learning, in both children and in deep learning. There is 1) imitation learning (watch and repeat, i.e. pretraining, supervised finetuning) ... Apr 18, 2022 ... In this article, we investigate the transfer learning of deep convolutional neural networks for the detection of maize leaf diseases. 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 ... 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, ... Dec 17, 2024 ... Qualitative review clearly showed its insufficiency; prone to detect patients' faces as symmetric, and unable to detect closure of the eyes. 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? Use the Export Training Data For Deep Learning tool to prepare training data for fine-tuning the model. Browse to Tools under the Analysis tab. Tools icon. This paper examines how well deep networks can diagnose various cancers using histopathology image processing. The comparative analysis attempts to find which approach is more efficient to be used for fine-tuning of pretrained BERT family transformer to deal with a ...