What are the different types of explanations that can be generated for fine-tuned models?

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. Modifying the "initial_epoch" arg when doing fine tuning and transfer learning. ... mrdbourke / tensorflow-deep-learning Public. Notifications You must be signed ... Interactive Medical Image Segmentation Using Deep Learning With Image-Specific Fine Tuning. IEEE Trans Med Imaging. 2018 Jul;37(7):1562-1573. doi: 10.1109 ... Course Q&A Deep Learning Specialization Convolutional Neural Networks · Marios_Constantinou July 24, 2022, 12:39pm 1. I have a ResNet50 model with 190 ... Jan 10, 2025 ... Specialization: Fine-tuning lets you customize a model to excel at a specific task. It's like tailoring a versatile suit to fit an individual. May 2, 2022 ... An Indonesian recipe generator Deep Learning model trained by fine-tuning pre-trained models such as T5, BART, and GPT-2 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 ... Aug 24, 2016 ... Here in Part 2, I describe Deep Convolutional Neural Networks (DCNNs) and how Transfer learning and Fine-tuning helps better the training process for domain ... 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 ... Aug 30, 2018 ... How a TPU works. When Google designed the TPU, we built a domain-specific architecture. That means, instead of designing a general purpose ...