• 设为首页
  • 点击收藏
  • 手机版
    手机扫一扫访问
    迪恩网络手机版
  • 关注官方公众号
    微信扫一扫关注
    公众号

machine-learning-projects/machine-learning-recipes: Following along with: Machin ...

原作者: [db:作者] 来自: 网络 收藏 邀请

开源软件名称(OpenSource Name):

machine-learning-projects/machine-learning-recipes

开源软件地址(OpenSource Url):

https://github.com/machine-learning-projects/machine-learning-recipes

开源编程语言(OpenSource Language):

Python 100.0%

开源软件介绍(OpenSource Introduction):

machine-learning-recipes

Machine Learning Recipes with Josh Gordon

My code following the Machine Learning Recipes with Josh Gordon series by Google Developers.

Part 1 - Hello World

Six lines of Python is all it takes to write your first machine learning program! In this episode, we'll briefly introduce what machine learning is and why it's important. Then, we'll follow a recipe for supervised learning (a technique to create a classifier from examples) and code it up.

Part 2 - Visualizing a Decision Tree

Last episode, we treated our Decision Tree as a blackbox. In this episode, we'll build one on a real dataset, add code to visualize it, and practice reading it - so you can see how it works under the hood.

Part 3 - What Makes a Good Feature?

Good features are informative, independent, and simple. In this episode, we'll introduce these concepts by using a histogram to visualize a feature from a toy dataset.

Part 4 - Let’s Write a Pipeline

In this episode, we’ll write a basic pipeline for supervised learning with just 12 lines of code. Along the way, we'll talk about training and testing data. Then, we’ll work on our intuition for what it means to “learn” from data.

Part 5 - Writing Our First Classifier

Welcome back! It's time to write our first classifier. This is a milestone if you’re new to machine learning. We'll start with our code from episode #4 and comment out the classifier we imported. Then, we'll code up a simple replacement - using a scrappy version of k-Nearest Neighbors

Part 6 - Train an Image Classifier with TensorFlow for Poets

Monet or Picasso? In this episode, we’ll train our own image classifier, using TensorFlow for Poets. Along the way, I’ll introduce Deep Learning, and add context and background on why the classifier works so well. Here are links to learn more, thanks for watching, and have fun!

Part 7 - Classifying Handwritten Digits with TF.Learn

Write a basic classifier using TF.Learn.




鲜花

握手

雷人

路过

鸡蛋
该文章已有0人参与评论

请发表评论

全部评论

专题导读
热门推荐
阅读排行榜

扫描微信二维码

查看手机版网站

随时了解更新最新资讯

139-2527-9053

在线客服(服务时间 9:00~18:00)

在线QQ客服
地址:深圳市南山区西丽大学城创智工业园
电邮:jeky_zhao#qq.com
移动电话:139-2527-9053

Powered by 互联科技 X3.4© 2001-2213 极客世界.|Sitemap