The Differentiable Neural Computer is an awesome model that DeepMind recently released. It's a memory augmented network that can perform meta-learning (learning to learn). We'll go over it's architecture details and implement it ourselves in Tensorflow.
Code for this video: https://github.com/llSourcell/differentiable_neural_computer
Please Subscribe! And like. And comment. That's what keeps me going.
More learning resources:
https://deepmind.com/blog/differentiable-neural-computers/
https://www.quora.com/How-groundbreaking-is-DeepMinds-Differentiable-neural-network
https://github.com/dsindex/blog/wiki/%5Bdnc%5D-Differentiable-Neural-Computer
https://blog.acolyer.org/2016/03/09/neural-turing-machines/
https://thenewstack.io/googles-deepmind-ai-now-capable-deep-neural-reasoning/
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: https://twitter.com/sirajraval
Facebook: https://www.facebook.com/sirajology Instagram: https://www.instagram.com/sirajraval/ Instagram: https://www.instagram.com/sirajraval/
