2、self-supervised learning 四、ELMO 五、BERT 1、BERT是如何训练的呢?(pre-train) 2、BERT如何应用?how to fine-tune? 3、轻量BERT 六、ERNIE 七、GPT (Generative Pre-training) 八、ChatGPT 近年来,以BERT、GPT为代表的NLP模型备受关注,尤其是chatGPT的横空出世,更加证明了大型自然语言模型的魅力。这篇...
ImageNet training and evaluatingImageNet contains more detail usage and some comparing results. Init Imagenet dataset using tensorflow_datasets #9. For custom dataset, custom_dataset_script.py can be used creating a json format file, which can be used as --data_name xxx.json for training, ...
The aim of this trial is to investigate if 16 weeks of supervised pelvic floor muscle training in combination with conservative treatment is superior to attention-control massage treatment and conservative treatment in patients with faecal incontinence. Randomised, controlled, superiority trial with two ...
SL:supervised learning collaborative knowledge graph: (CKG) KG:通常被描述为由实体——关系——实体三元组组成的异构网络,其中实体可以是一个项或一个属性。 Abstract 为了提供更准确、多样和可解释的推荐,必须超越对用户项交互的建模,并考虑辅助信息。传统方法如因子分解机(FM)将其视为一个有监督的学习问题,该...
by over 2 BLEU. On the WMT 2014 English-to-French translation task, our model establishes a new single-model state-of-the-art BLEU score of 41.8 after training for 3.5 days on eight GPUs, a small fraction of the training costs of the best models from the literature. We show that the...
On the WMT 2014 English-to-French translation task, our big model achieves a BLEU score of 41.0, outperforming all of the previously published single models, at less than 1∕4 the training cost of the previous state-of-the-art model. The Transformer (big) model trained for English-to-Fren...
The third model is At-biLSTM, which trains the self-attention parameters, together with other parameters of the model in a supervised way. Table 4. Clone detection models with various self-attention layers (percentage). DescriptionF1 score (BigCloneBench)F1 score (OJClone) No self-attention ...
Currently recommended TF version istensorflow==2.11.1. Expecially for training or TFLite conversion. Default importwill not specific these while using them in READMEs. importosimportsysimporttensorflowastfimportnumpyasnpimportpandasaspdimportmatplotlib.pyplotaspltfromtensorflowimportkeras ...
(n_steps, feature-dimension) /gtscore 1D-array with shape (n_steps), stores ground truth improtance score (used for training, e.g. regression loss) /user_summary 2D-array with shape (num_users, n_frames), each row is a binary vector (used for test) /change_points 2D-array with ...
Within the domain of CycleGAN, CycleWGAN28has emerged as a supervised learning variant. By substituting JS divergence and period loss in the original CycleGAN network with Wasserstein distance and introducing a supervised loss, it effectively addresses the issue of mode collapse. Nevertheless, this met...