What are the different meta-learning algorithms used for fine tuning?

Jun 1, 2022 ... Award Share. Community Info Section. r/deeplearning. Join. Deep Learning. 192K Members. 56 Online. Top 1% Rank by size. More posts you may like. 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 13, 2018 ... Deep learning with cinematic rendering: fine-tuning deep neural networks using photorealistic medical images, Mahmood, Faisal, Chen, ... AI is the new electricity and will transform and improve nearly all areas of human lives. close. Sign in with Google. Sign in with LinkedIn. Or, sign in ... Jan 27, 2025 ... ... learning, in both children and in deep learning. There is 1) imitation learning (watch and repeat, i.e. pretraining, supervised finetuning) ... 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. The p3 family is recommended as the fastest for deep learning training, and this is recommended for fine-tuning a model. The following chart shows the number of ... Jul 2, 2024 ... This study aims to enhance precision of a popular commercial DLAS product in rectal cancer radiotherapy by localized fine-tuning. 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- ... Apr 18, 2022 ... In this article, we investigate the transfer learning of deep convolutional neural networks for the detection of maize leaf diseases.