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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

Home Page: https://time.geekbang.org/course/intro/100053201

License: Other

Jupyter Notebook 99.82% Python 0.17% Dockerfile 0.01%

tensorflow-101's Introduction

Table of Contents generated with DocToc

TensorFlow 快速入门与实战

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课程列表

第一部分:TensorFlow初印象

课件

第二部分:TensorFlow初接触

课件 | 代码

第三部分:TensorFlow基础概念解析

课件 | 代码

第四部分:实战TensorFlow房价预测

课件 | 代码

第五部分:实战TensorFlow手写体数字识别

课件 | 代码

第六部分:实战TensorFlow验证码识别

课件 | 代码

第七部分:实战TensorFlow人脸识别

课件 | 代码

第八部分:TensorFlow社区参与指南

课件

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:

  1. 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
  1. 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
  1. 安装 Windows 上 64位的 Python 3 发布版
  1. 安装 pipvirtualenv
pip3 install -U pip virtualenv
  1. 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
  1. 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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