深度学习入门

# Deep Learning with PaddlePaddle [](https://travis-ci.org/PaddlePaddle/book) [](https://github.com/PaddlePaddle/book/blob/develop/README.md) [](https://github.com/PaddlePaddle/book/blob/develop/README.cn.md) 1. [Fit a Line](https://www.paddlepaddle.org.cn/documentation/docs/en/develop/beginners_guide/basics/fit_a_line/README.html) 1. [Recognize Digits](https://www.paddlepaddle.org.cn/documentation/docs/en/develop/beginners_guide/basics/recognize_digits/README.html) 1. [Image Classification](https://www.paddlepaddle.org.cn/documentation/docs/en/develop/beginners_guide/basics/image_classification/index_en.html) 1. [Word to Vector](https://www.paddlepaddle.org.cn/documentation/docs/en/develop/beginners_guide/basics/word2vec/index_en.html) 1. [Recommender System](https://www.paddlepaddle.org.cn/documentation/docs/en/develop/beginners_guide/basics/recommender_system/index_en.html) 1. [Understand Sentiment](https://www.paddlepaddle.org.cn/documentation/docs/en/develop/beginners_guide/basics/understand_sentiment/index_en.html) 1. [Label Semantic Roles](https://www.paddlepaddle.org.cn/documentation/docs/en/develop/beginners_guide/basics/label_semantic_roles/index_en.html) 1. [Machine Translation](https://www.paddlepaddle.org.cn/documentation/docs/en/develop/beginners_guide/basics/machine_translation/index_en.html) ## Running the Book This book you are reading is interactive -- each chapter can run as a Jupyter Notebook. We packed this book, Jupyter, PaddlePaddle, and all dependencies into a Docker image. So you don't need to install anything except Docker. If you are using Windows, please follow [this installation guide](https://www.docker.com/docker-windows). If you are running Mac, please follow [this](https://www.docker.com/docker-mac). For various Linux distros, please refer to https://www.docker.com. If you are using Windows or Mac, you might want to give Docker [more memory and CPUs/cores](http://stackoverflow.com/a/39720010/724872). Just type ```bash docker run -d -p 8888:8888 paddlepaddle/book ``` This command will download the pre-built Docker image from DockerHub.com and run it in a container. Please direct your Web browser to http://localhost:8888 to read the book. If you are living in somewhere slow to access DockerHub.com, you might try our mirror server hub.baidubce.com: ```bash docker run -d -p 8888:8888 hub.baidubce.com/paddlepaddle/book ``` ### Training with GPU By default we are using CPU for training, if you want to train with GPU, the steps are a little different. To make sure GPU can be successfully used from inside container, please install [nvidia-docker](https://github.com/NVIDIA/nvidia-docker). Then run: ```bash nvidia-docker run -d -p 8888:8888 paddlepaddle/book:latest-gpu ``` Or you can use the image registry mirror in China: ```bash nvidia-docker run -d -p 8888:8888 hub.baidubce.com/paddlepaddle/book:latest-gpu ``` Change the code in the chapter that you are reading from ```python use_cuda = False ``` to: ```python use_cuda = True ``` ## Contribute Your contribution is welcome! Please feel free to file Pull Requests to add your chapter as a directory under `/pending`. Once it is going stable, the community would like to move it to `/`. To write, run, and debug your chapters, you will need Python 2.x, Go >1.5. You can build the Docker image using [this script](https://github.com/PaddlePaddle/book/blob/develop/.tools/convert-markdown-into-ipynb-and-test.sh). This tutorial is contributed by <a xmlns:cc="http://creativecommons.org/ns#" href="http://www.paddlepaddle.org/" property="cc:attributionName" rel="cc:attributionURL">PaddlePaddle</a>, and licensed under a <a rel="license" href="http://creativecommons.org/licenses/by-sa/4.0/">Creative Commons Attribution-ShareAlike 4.0 International License</a>.