DjangoPeng / Tensorflow 101
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《TensorFlow 快速入门与实战》和《TensorFlow 2 项目进阶实战》课程代码与课件
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Table of Contents generated with DocToc
TensorFlow 快速入门与实战
交流讨论群
课程列表
第一部分：TensorFlow初印象
第二部分：TensorFlow初接触
第三部分：TensorFlow基础概念解析
第四部分：实战TensorFlow房价预测
第五部分：实战TensorFlow手写体数字识别
第六部分：实战TensorFlow验证码识别
第七部分：实战TensorFlow人脸识别
第八部分：TensorFlow社区参与指南
问题答疑
我将极客时间上多次提到的问题整理在此，希望可以解答有同样问题的朋友。
1. Windows 上安装 TensorFlow 流程
对于有英文基础的朋友，建议直接阅读官网安装教程。本答案翻译自 TensorFlow 官网。
系统环境要求：
- Windows 7（64位) 以上版本
- Python 3.4, 3.5 或 3.6
Windows 上安装 TensorFlow 步骤：
- 安装 Python 开发环境
检查系统是否已安装 Python 开发环境。如果已安装，则跳过该步骤。
python3 --version
pip3 --version
virtualenv --version
- 独立安装 Microsoft Visual C++ 2015 Redistributable Update 3 或安装完整的 Visual Studio 2015：
- 进入 Visual Studio 下载页
- 选择 Redistributables and Build Tools
- 下载和安装 Microsoft Visual C++ 2015 Redistributable Update 3
- 安装 Windows 上 64位的 Python 3 发布版
- 安装 pip 和 virtualenv
pip3 install -U pip virtualenv
- 创建 Python 虚拟环境
virtualenv --system-site-packages -p python3 ./venv
.\venv\Scripts\activate
pip install --upgrade pip
pip list # 展示 venv 中已安装的软件包
deactivate # 使用完 TensorFlow 后，方可推出 venv 虚拟环境
- 安装 TensorFlow pip 包
pip install --upgrade tensorflow
python -c "import tensorflow as tf; tf.enable_eager_execution(); print(tf.reduce_sum(tf.random_normal([1000, 1000])))"
2. 学这个课程需要什么样的基础？
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