How to Generate Your Own Wikipedia Articles (LIVE)

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 https://larseidnes.com/2015/10/13/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/sirajology Instagram: https://www.instagram.com/sirajraval/ Instagram: https://www.instagram.com/sirajraval/