https://github.com/bjpcjp/scikit-and-tensorflow-workbooks

based on "Hands-On Machine Learning with Scikit-Learn & TensorFlow" (O'Reilly, Aurelien Geron)
https://github.com/bjpcjp/scikit-and-tensorflow-workbooks

deep-learning scikit-learn tensorflow tensorflow-tutorials

Last synced: 2 months ago
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based on "Hands-On Machine Learning with Scikit-Learn & TensorFlow" (O'Reilly, Aurelien Geron)

• Host: GitHub
• URL: https://github.com/bjpcjp/scikit-and-tensorflow-workbooks
• Owner: bjpcjp
• Created: 2017-04-24T14:51:43.000Z (over 8 years ago)
• Default Branch: master
• Last Pushed: 2017-04-28T17:52:27.000Z (over 8 years ago)
• Last Synced: 2025-05-19T21:05:39.201Z (6 months ago)
• Topics: deep-learning, scikit-learn, tensorflow, tensorflow-tutorials
• Language: HTML
• Size: 7.34 MB
• Stars: 317
• Watchers: 30
• Forks: 173
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

Awesome Lists containing this project

README

          
![book cover](book-cover.png)

[ebook repo](https://github.com/ageron/handson-ml/blob/master/15_autoencoders.ipynb)

# book chapters

1)  Intro to Machine Learning

2)  Example end-to-end Machine Learning project (California Housing dataset)

3)  Basic Classification

4)  Training Techniques

5)  Support Vector Machines

6)  Decision Trees

7)  Ensemble Learning & Random Forests

8)  Dimensionality Reduction

9)  TensorFlow Installation & Checkout

10) TensorFlow & Neural Nets

11) TensorFlow Training

12) TensorFlow on Distributed Hardware

13) Convolutional Neural Nets

14) Recurrent Neural Nets

15) Autoencoders

16) Reinforcement Learning