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/differe... Please Subscribe! And like. And comment. That's what keeps me going. More learning resources: https://deepmind.com/blog/differentia... https://www.quora.com/How-groundbreak... https://github.com/dsindex/blog/wiki/... https://blog.acolyer.org/2016/03/09/n... https://thenewstack.io/googles-deepmi...