diff --git a/doc/fluid/advanced_usage/paddle_slim/paddle_slim_en.md b/doc/fluid/advanced_usage/paddle_slim/paddle_slim_en.md index 923cfd0d1f564d160424ee275a0d28a29814848e..ddcca91cf9b181ca7f4fc7c3a47370bb484de097 100644 --- a/doc/fluid/advanced_usage/paddle_slim/paddle_slim_en.md +++ b/doc/fluid/advanced_usage/paddle_slim/paddle_slim_en.md @@ -66,7 +66,7 @@ The overall principle of the model compression tool is briefly introduced here t As **figure 1** shows, the top purple module is the user interface. When calling the model compression function in Python scripts, we only need to construct a Compressor object. Please refer to [Documentation](https://github.com/PaddlePaddle/models/blob/develop/PaddleSlim/docs/usage.md) for more details. -We call every compression algorithms compression strategies, which are called during the process of training models iteratively to complete model compression, as is shown in **figure 2**. The logic is packaged in the tool for model compression, and users only need to provide network structures, data and optimizers for model training. Please refer to [Use Document](https://github.com/PaddlePaddle/models/blob/develop/PaddleSlim/docs/usage.md) for more details. +We call every compression algorithms compression strategies, which are called during the process of training models iteratively to complete model compression, as is shown in **figure 2**. The logic is packaged in the toolset for model compression, and users only need to provide network structures, data and optimizers for model training. Please refer to [Use Document](https://github.com/PaddlePaddle/models/blob/develop/PaddleSlim/docs/usage.md) for more details.