Lets Make a Question Answering chatbot using the bleeding edge in deep learning (Dynamic Memory Network). We'll go over different chatbot methodologies, then dive into how memory networks work, with accompanying code in Keras.
Code + Challenge for this video:
https://github.com/llSourcell/How_to_...
Nemanja's Winning Code:
https://github.com/Nemzy/language-tra...
Vishal's Runner up code:
https://github.com/erilyth/DeepLearni...
Web app to run the code yourself:
https://ethancaballero.pythonanywhere...
Please subscribe! And like. And comment. That's what keeps me going.
More Learning resources:
• Human-Computer QA: Dynamic Memory Net...
• Dynamic Memory Networks for Visual an...
https://yerevann.github.io/2016/02/05...
• Oral Session: End-To-End Memory Networks
http://www.wildml.com/2016/01/attenti...
https://github.com/domluna/memn2n
Join us in the Wizards Slack channel:
http://wizards.herokuapp.com/
And please support me on Patreon:
https://www.patreon.com/user?u=3191693
Follow me:
Twitter: / sirajraval
Facebook: / sirajology Instagram: / sirajraval Instagram: / sirajraval
Signup for my newsletter for exciting updates in the field of AI:
https://goo.gl/FZzJ5w
Hit the Join button above to sign up to become a member of my channel for access to exclusive content! Join my AI community: http://chatgptschool.io/ Sign up for my AI Sports betting Bot, WagerGPT! (500 spots available):
https://www.wagergpt.co