From b5de5322b9f40449db4d55078044a1e1b44c0644 Mon Sep 17 00:00:00 2001 From: littletomatodonkey <2120160898@bit.edu.cn> Date: Fri, 21 May 2021 12:01:48 +0800 Subject: [PATCH] Update transfer_learning_en.md --- docs/en/application/transfer_learning_en.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docs/en/application/transfer_learning_en.md b/docs/en/application/transfer_learning_en.md index ba67c486..2aa0f22c 100644 --- a/docs/en/application/transfer_learning_en.md +++ b/docs/en/application/transfer_learning_en.md @@ -57,7 +57,7 @@ It takes 196 times for grid search, and takes 10 times less for Bayesian search. ## Large-scale image classification -In practical applications, due to the lack of training data, the classification model trained on the ImageNet1k data set is often used as the pretrained model for other image classification tasks. In order to further help solve practical problems, based on ResNet50_vd, Baidu open sourced a self-developed large-scale classification pretrained model, in which the training data contains 100,000 categories and 43 million pictures. The pretrained model can be downloaded as follows:[**download link**](https://paddle-imagenet-models-name.bj.bcebos.com/ResNet50_vd_10w_pretrained.tar) +In practical applications, due to the lack of training data, the classification model trained on the ImageNet1k data set is often used as the pretrained model for other image classification tasks. In order to further help solve practical problems, based on ResNet50_vd, Baidu open sourced a self-developed large-scale classification pretrained model, in which the training data contains 100,000 categories and 43 million pictures. The pretrained model can be downloaded as follows:[**download link**](https://paddle-imagenet-models-name.bj.bcebos.com/dygraph/ResNet50_vd_10w_pretrained.pdparams) We conducted transfer learning experiments on 6 self-collected datasets, -- GitLab