How to Generate Your Own Wikipedia Articles (LIVE)

http://brain.trendzi.net/

http://brain.trendzi.net/sitemap/

We’re going to build an LSTM network in Tensorflow (no Keras) to generate text after training on Wikipedia articles. You’ll learn how an LSTM cell works programmatically since we’ll build one using TF’s math functions and how you can parse a similar dataset

Code:
https://github.com/llSourcell/wiki_generator_live

Dataset: https://metamind.io/research/the-wikitext-long-term-dependency-language-modeling-dataset/

Please subscribe! And like. And comment. That’s what keeps me going.

Learning resources:
http://stats.stackexchange.com/questions/181/how-to-choose-the-number-of-hidden-layers-and-nodes-in-a-feedforward-neural-netw
http://karpathy.github.io/2015/05/21/rnn-effectiveness/
https://github.com/jsseely/tensorflow-rnn-tutorial/blob/master/TensorFlow%20RNN%20tutorial.ipynb
https://chunml.github.io/ChunML.github.io/project/Creating-Text-Generator-Using-Recurrent-Neural-Network/
http://deeplearningathome.com/2016/10/Text-generation-using-deep-recurrent-neural-networks.html
Auto-Generating Clickbait With Recurrent Neural Networks
http://genekogan.com/works/learning-sequences/

Join us in the Wizards Slack channel:
http://wizards.herokuapp.com/

And please support me on Patreon:
https://www.patreon.com/user?u=3191693

Streaming Live from UploadVR’s Studio in San Francisco!: https://www.youtube.com/uploadvr
Follow me:
Twitter: https://twitter.com/sirajraval
Facebook: https://www.facebook.com/sirajologyyy
Instagram: https://www.instagram.com/llsourcell/

Related posts:

Leave a Reply

Your email address will not be published. Required fields are marked *