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updated readme

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sachinruk committed Mar 24, 2018
1 parent 5faea7f commit d0970a0d841877461258d7fdf0f87673c1f25706
Showing with 6 additions and 24 deletions.
  1. +6 −24 README.md
@@ -17,6 +17,12 @@ There's a few ways you can support this initiative:
2. Subscribe to our [YouTube channel here](http://www.youtube.com/user/sachinabey?sub_confirmation=1).
3. Star this repository and share it!
## Contents
The following contents are each contained within a folder:
1. Data Science (eg. Pandas)
2. Deep Learning (Keras)
3. Bayesian Learning (PyMC3)
## Installation
If you are a beginner (haven't done CNNs yet) simply click [this link](https://mybinder.org/v2/gh/sachinruk/deepschool.io/master) instead of following the installation comands below. It launches a live notebook server with these notebooks using [binder](https://beta.mybinder.org/): [![Binder](https://mybinder.org/badge.svg)](https://mybinder.org/v2/gh/sachinruk/deepschool.io/master)
1. Install Docker https://www.docker.com/
@@ -31,30 +37,6 @@ bash run.sh
See [here](./misc/windows_instructions.md) for installing on windows.
## Contents
0. Lesson 0: Introduction to regression.
1. Lesson 1: Penalising weights to fit better (scikit learn intro)
### Mathematics (optional)
2. Lesson 2: Gradient Descent. Using basic optimisation methods.
3. Lesson 3: Tensorflow intro: zero layer hidden networks (i.e. normal regression).
4. Lesson 4: Tensorflow hidden layer introduction.
### Deep Learning
5. Lesson 5: Using Keras to simplify multi layer neural nets.
6. Lesson 6: Embeddings to deal with categorical data. (Keras)
7. Lesson 7: Word2Vec. Embeddings to visualise words. (Tensorflow)
8. Lesson 8: Application - Bike Sharing predictions
9. Lesson 9: Choosing Number of Layers and more
10. Lesson 10: XGBoost - A quick detour from Deep Learning
11. Lesson 11: Convolutional Neural Nets (MNIST dataset)
12. Lesson 12: CNNs and BatchNormalisation (CIFAR10 dataset)
13. Lesson 13: Transfer Learning (Dogs vs Cats dataset)
### Advanced Topics
14. Lesson 14: LSTMs - Sentiment analysis.
15. Lesson 15: LSTMs - Shakespeare.
16. Lesson 16: LSTMs - Trump Tweets.
17. Lesson 17: Trump - Stacking and Stateful LSTMs.
18. Lesson 18: Fake News Classifier
## Support
You can ask questions and join the development discussion:
- On the [DeepSchool-io Google group](https://groups.google.com/forum/#!forum/deepschoolio). **Long detailed questions go here**.

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