[https://arxiv.org/abs/1410.5401](Neural Turing Machines) We extend the capabilities of neural networks by coupling them to external memory resources, which they can interact with by attentional processes. The combined system is analogous to a Turing Machine or Von Neumann architecture but is differentiable end-to-end, allowing it to be efficiently trained with gradient descent. Preliminary results demonstrate that Neural Turing Machines can infer simple algorithms such as copying, sorting, and associative recall from input and output examples.

Write css rules with lispy syntax using lass.

Concise explanation of Kalman filter

List{:target=”_blank”} of functional programming related podcasts. Happy listening!

This tiny blog has just been migrated from octropress to hugo. Pros: service code and content (blog posts) are not mixed easy installation and configuration/customization process no more any troubles with ruby (on mac in particular) speed Generator is written in go lang :-), maybe for someone this is an additional argument. Cons: … cant see, at least now Good day!