From d4b1c029e8ec63e6abc81c72b47832f1c6665f11 Mon Sep 17 00:00:00 2001 From: Yi Wang Date: Fri, 15 Sep 2017 10:18:36 -0700 Subject: [PATCH] Removing trailing whitespaces --- README.en.md | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/README.en.md b/README.en.md index e52c5ec0..f32ec439 100644 --- a/README.en.md +++ b/README.en.md @@ -46,7 +46,7 @@ The algorithms for learning to rank are usually categorized into three groups by ## 6. Semantic model The deep structured semantic model uses the DNN model to learn the vector representation of the low latitude in a continuous semantic space, finally models the semantic similarity between the two sentences. -In this example, we demonstrate how to use PaddlePaddle to implement a generic deep structured semantic model to model the semantic similarity between two strings. The model supports different network structures such as CNN (Convolutional Network), FC (Fully Connected Network), RNN (Recurrent Neural Network), and different loss functions such as classification, regression, and sequencing. +In this example, we demonstrate how to use PaddlePaddle to implement a generic deep structured semantic model to model the semantic similarity between two strings. The model supports different network structures such as CNN (Convolutional Network), FC (Fully Connected Network), RNN (Recurrent Neural Network), and different loss functions such as classification, regression, and sequencing. - 6.1 [Deep structured semantic model] (https://github.com/PaddlePaddle/models/tree/develop/dssm) @@ -77,4 +77,5 @@ For the example of image classification, we show you how to train AlexNet, VGG, ## Copyright and License + PaddlePaddle is provided under the [Apache-2.0 license] (LICENSE). -- GitLab