How can fine tuning be used in explainable AI (XAI)?

Dec 5, 2023 ... 1. Hyperparameter Tuning. This involves adjusting the model's parameters to improve performance. · 2. Transfer Learning. Leveraging pre-trained ... 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 ... Accelerating Distributed Deep Neural Network Training and Fine-Tuning Through Resource Interleaving ... deep learning has created a massive demand for ... Sep 30, 2020 ... Experiment Manager is an app for training, fine-tuning, and explaining your deep learning networks under a variety of initial conditions. 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 ... 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, ... 1. Robot Workflow: Machine Learning Extractor Trainer activity · 2. Document Manager: Schedule Export feature · 3. AI Center: Scheduled Auto-retraining Pipeline. 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- ... Fine-tuning is a technique used in machine learning and deep learning to adapt a pre-trained model to perform specific tasks or domains. May 2, 2022 ... An Indonesian recipe generator Deep Learning model trained by fine-tuning pre-trained models such as T5, BART, and GPT-2