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Here mainly describes how to deploy PaddlePaddle to the mobile end, as well as some deployment optimization methods and some benchmark.

• Build PaddlePaddle for Android [Chinese] [English]
• Build PaddlePaddle for IOS [Chinese] [English]
• Build PaddlePaddle for Raspberry Pi3 [Chinese] [English]
• Build PaddlePaddle for PX2
• How to build PaddlePaddle mobile inference library with minimum size.

• A command-line inference demo.
• iOS demo of AICamera

• Merge batch normalization before deploying the model to the mobile.
• Compress the model before deploying the model to the mobile.
• Merge model config and parameter files into one file.
• How to deploy int8 model in mobile inference with PaddlePaddle.

• How to use pruning to train smaller model

• Benchmark of Mobilenet
• Benchmark of ENet
• Benchmark of DepthwiseConvolution in PaddlePaddle

This tutorial is contributed by PaddlePaddle and licensed under the Apache-2.0 license.