This section collects six documents arranging from the simplest to the most challenging, which will guide you through the basic deep learning tasks in PaddlePaddle.
The documentation in this chapter covers a lot of deep learning basics and how to implement them with PaddlePaddle. See the instructions below for how to use:
Overview
======================
The book you are reading is an "interactive" e-book - each chapter can be run in a Jupyter Notebook.
.. toctree::
:titlesonly:
image_classification/index_en.md
word2vec/index_en.md
recommender_system/index_en.md
understand_sentiment/index_en.md
label_semantic_roles/index_en.md
machine_translation/index_en.md
We packaged Jupyter, PaddlePaddle, and various dependency softwares into a Docker image. It frees you from installing these softwares by yourself, and you only need to just install Docker. For various Linux versions, please refer to https://www.docker.com . If you use docker on `Windows <https://www.docker.com/docker-windows>`_ or `Mac <https://www.docker.com/docker-mac>`_ , consider `allocate more Memory and CPU resources to Docker <http://stackoverflow.com/a/39720010/724872>`_ .
Instructions
======================
This book assumes you are performing CPU training by default. If you want to use GPU training, the steps will vary slightly. Please refer to "GPU Training" below.
CPU training
>>>>>>>>>>>>
Just run these in shell:
.. code-block:: shell
docker run -d -p 8888:8888 paddlepaddle/book
It downloads the Docker image for running books from DockerHub.com.
To read and edit this book on-line, please visit http://localhost:8888 in your browser.
If the Internet connection to DockerHub.com is compromised, try our spare docker image named docker.paddlepaddlehub.com:
::
docker run -d -p 8888:8888 docker.paddlepaddlehub.com/book
GPU training
>>>>>>>>>>>>>
To ensure that the GPU driver works properly in the image, we recommend running the image with `nvidia docker <https://github.com/NVIDIA/nvidia-docker>`_ . Please install nvidia-docker first, then run:
::
nvidia-docker run -d -p 8888:8888 paddlepaddle/book:latest-gpu
Or use a image source in China to run:
::
nvidia-docker run -d -p 8888:8888 docker.paddlepaddlehub.com/book:latest-gpu
modify the following codes
.. code-block:: python
use_cuda = False
into :
.. code-block:: python
use_cuda = True
Contribute to Book
===================
We highly appreciate your original contributions of new chapters to Book! Just Pull Requests of your contributions to the sub-directory in :code:`pending` . When this chapter is endorsed, we'll gladly move it to the root directory.
For writing, running, debugging, you need to install `shell <https://github.com/PaddlePaddle/book/blob/develop/.tools/convert-markdown-into-ipynb-and-test.sh>`_ to generate Docker image。
**Please Note:** We also provide `English Readme <https://github.com/PaddlePaddle/book/blob/develop/README.md>`_ for PaddlePaddle book
This section will tutor you to invent your won models of classical *linear Regression* and *Handwritten Digits Recognition* tasks in PaddlePaddle Fluid. The following tutorials provide details on model definition, training, and inference in a friendly manner based on real-life datasets:
