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26 changes: 13 additions & 13 deletions README.md
Original file line number Diff line number Diff line change
Expand Up @@ -48,18 +48,18 @@ To manage software packages for Python, you can type :
$ pip3 install 'package_name'

## FAQ
1. Do I need to know a lot about Tensorflow for running into this codelab?
No, you should have a basic understanding of datascience, variable modeling and neural nets. The architecture is clearly defined
2. Wich Neural Network Model are you using for the codelab?
We are using wide+deep learning model that combines the benefits of memorization+generalization
3. Can I commit or colaborate?
Surething. We are looking for improvement in the following areas :
A. Getting more accurate data. If you are passionate about Game of Thrones and want to give us a hand with the dataset, you are more than wellcome.
B.Code . Yes, we would like to get more semantic and better with the code. Please don´t hesitate to push/commit in this journey
C. Feedback. We have create a feedback form that you can find at the end of the codelab. Please feel free to colaborate.
D. Share. Do you think anyone you meet would you like to learn more about Neuralnets and also loves Game of Throne? You can share this codelab .
4. Wich is the best way to experience this codelab?
You can experience this codelab in a lot of different ways. The most significant is to read chapter 1 and enjoy some datascience about game of thrones, then download the code, and change the model m, having the opportunity to change the optimizers and the hidden layers .
1. Question:: Do I need to know a lot about Tensorflow for running into this codelab?
Answer: No, you should have a basic understanding of datascience, variable modeling and neural nets. The architecture is clearly defined
2. Question:: Wich Neural Network Model are you using for the codelab?
Answer: We are using wide+deep learning model that combines the benefits of memorization+generalization
3. Question:: Can I commit or colaborate?
Answer: Surething. We are looking for improvement in the following areas :
* Getting more accurate data. If you are passionate about Game of Thrones and want to give us a hand with the dataset, you are more than welcome.
* Code. Yes, we would like to get more semantic and better with the code. Please don´t hesitate to push/commit in this journey.
* Feedback. We have create a feedback form that you can find at the end of the codelab. Please feel free to colaborate.
* Share. Do you think anyone you meet would you like to learn more about Neuralnets and also loves Game of Throne? You can share this codelab.
4. Question: Which is the best way to experience this codelab?
Answer: You can experience this codelab in a lot of different ways. The most significant is to read chapter 1 and enjoy some datascience about game of thrones, then download the code, and change the model m, having the opportunity to change the optimizers and the hidden layers .
You can also read it without download the data .

Please, note that this is an going work and you might find some improvement areas.
Expand All @@ -73,7 +73,7 @@ This codelab has been part of diverse community events, that include :

- [x] GDG Madrid DevFest (2016)
- [x] BigData Coruna
- [x] GDG Andalucia OpenSummer
- [x] GDG Andalucia Summer
- [ ] Google Developers Group Spain Summit 2017

If you would like to host an event or run a workshop about this codelab, please contact for more materials
2 changes: 1 addition & 1 deletion Tensor-GOT-Polymer/index.html
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Expand Up @@ -156,7 +156,7 @@ <h2>Instalation of Tensorflow</h2>
</code></pre>
<p>Great! Now you should have your instalation complete. You can test in your console typing in python</p>
<pre><code>
>>> import tensorflow
>>> import tensorflow as tf
>>> hello = tf.constant('Hello, Tensorflow!')
>>> sess = tf.Session()
>>> sess.run(hello)
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