# tensorflow-handbook **Repository Path**: mathematicsX/tensorflow-handbook ## Basic Information - **Project Name**: tensorflow-handbook - **Description**: No description available - **Primary Language**: Unknown - **License**: Not specified - **Default Branch**: master - **Homepage**: None - **GVP Project**: No ## Statistics - **Stars**: 0 - **Forks**: 0 - **Created**: 2021-05-05 - **Last Updated**: 2021-11-03 ## Categories & Tags **Categories**: Uncategorized **Tags**: None ## README # 简单粗暴 TensorFlow 2 | A Concise Handbook of TensorFlow 2 *基于Eager Execution | Based on Eager Execution* 在线阅读 | Read online : https://tf.wiki 备用地址 | Alternative URL:https://snowkylin.github.io/tensorflow-handbook/ 作者 | Author: [Xihan Li (snowkylin)](https://snowkylin.github.io), [Huan Li](https://github.com/huan), [Jinpeng Zhu](https://github.com/dpinthinker) 这是一本简明的 TensorFlow 2 入门指导手册,基于 Keras 和即时执行模式(Eager Execution),力图让具备一定机器学习及 Python 基础的开发者们快速上手 TensorFlow 2。 本文的所有代码基于 TensorFlow 2.1 和 2.0 正式版。文中的所有示例代码可至 [这里](https://github.com/snowkylin/tensorflow-handbook/tree/master/source/_static/code/zh) 获得。 This is a concise handbook of TensorFlow 2 based on Keras and Eager Execution mode, aiming to help developers with some basic machine learning and Python knowledge to get started with TensorFlow 2 quickly. The code of this handbook is based on TensorFlow 2.0 and 2.1 stable version. All codes in the book can be found [here](https://github.com/snowkylin/tensorflow-handbook/tree/master/source/_static/code/en). PDF下载(旧版) | PDF download (old version) : - (中文版 | Chinese): https://discuss.tf.wiki/t/topic/23 - (英文版 | English): https://github.com/snowkylin/tensorflow-handbook/releases 教程在线答疑区 | Online Q&A area : - (中文 | Chinese): https://discuss.tf.wiki - (英文 | English): https://github.com/snowkylin/tensorflow-handbook/issues ## DEVELOPING ### Install > run `make install` for run all the follow commands. ```sh # https://www.ibm.com/developerworks/cn/opensource/os-sphinx-documentation/index.html pip install sphinx # for theme pip install sphinx_rtd_theme # for auto build pip install sphinx_autobuild ``` ## CONTRIBUTORS [![contributor](https://sourcerer.io/fame/huan/snowkylin/tensorflow-handbook/images/0)](https://sourcerer.io/fame/huan/snowkylin/tensorflow-handbook/links/0) [![contributor](https://sourcerer.io/fame/huan/snowkylin/tensorflow-handbook/images/1)](https://sourcerer.io/fame/huan/snowkylin/tensorflow-handbook/links/1) [![contributor](https://sourcerer.io/fame/huan/snowkylin/tensorflow-handbook/images/2)](https://sourcerer.io/fame/huan/snowkylin/tensorflow-handbook/links/2) [![contributor](https://sourcerer.io/fame/huan/snowkylin/tensorflow-handbook/images/3)](https://sourcerer.io/fame/huan/snowkylin/tensorflow-handbook/links/3) [![contributor](https://sourcerer.io/fame/huan/snowkylin/tensorflow-handbook/images/4)](https://sourcerer.io/fame/huan/snowkylin/tensorflow-handbook/links/4) [![contributor](https://sourcerer.io/fame/huan/snowkylin/tensorflow-handbook/images/5)](https://sourcerer.io/fame/huan/snowkylin/tensorflow-handbook/links/5) [![contributor](https://sourcerer.io/fame/huan/snowkylin/tensorflow-handbook/images/6)](https://sourcerer.io/fame/huan/snowkylin/tensorflow-handbook/links/6) [![contributor](https://sourcerer.io/fame/huan/snowkylin/tensorflow-handbook/images/7)](https://sourcerer.io/fame/huan/snowkylin/tensorflow-handbook/links/7)