• 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

snrazavi/Machine-Learning-in-Python-Workshop: My workshop on machine learning us ...

原作者: [db:作者] 来自: 网络 收藏 邀请

开源软件名称(OpenSource Name):

snrazavi/Machine-Learning-in-Python-Workshop

开源软件地址(OpenSource Url):

https://github.com/snrazavi/Machine-Learning-in-Python-Workshop

开源编程语言(OpenSource Language):

Jupyter Notebook 99.3%

开源软件介绍(OpenSource Introduction):

Machine-Learning-in-Python-Workshop

My workshop on machine learning using python language to implement different algorithms (University of Tabriz, Iran, 2017).

Contents

Part 1: Using existing packages for machine learning (Week 1 to 5)

  • Week 01 and 02: Introduction to Numpy and Matplotlib packages
  • Week 03 and 04: Using Scikit Learn for Supervised Learning
  • Week 05: Using Scikit Learn for Unsupervised Learning

Part 2: Implementing our machine Learning algorithms and models (Week 5 to 10)

  • Week 06: Linear classification
  • Week 07: Implementing Loss functions (Softmax loss and SVM loss)
  • Week 08: Implementing gradient descent, Backpropagation and Artifitial Neural Networks (MLP)
  • Week 09: Advanced topics including dropout, batch normalization, weight initialization and other optimization methods(Adam, RMSProp)
  • Week 10: Inroduction to Deep Learning and implementing a Convolutional Neural Network (CNN) for image classification.

Prerequisites:

  • A basic knowledge of Python programming language.
  • A good understaning of Machine Learning.
  • Linear Algebra

Videos in YouTube (in Persian):

My website Address:

  • containing anything you need to learn and of course to use machine learning in real world applications:
  • http://wwww.snrazavi.ir/

The workshop page on my website:

Note: The materials of this workshop are inspired from awesome lectures presented by Andrej Karpathy at Stanford, 2016.

References:




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