Week 2- Hybrid computing using a neural network with dynamic external memory (2)
- Meeting Date: 11.07.2018
- Attendee: Won, Mike, Chanoh
Paper reviewed
- Paper Title: Hybrid computing using a neural network with dynamic external memory
Meeting summary
- Reviewed all operations and their meaning.
- PPT: here
- Note: here
- Operation sequence from a code ananysis
- (Code link)[https://github.com/ixaxaar/pytorch-dnc]. In pytorch, easy to understand, works well.
- Write
- Find similar contents “c”
- Address generation w = gw(ga*a+(1-ga)c)
- See which memory cell is free
- Delete or not “”
- Important “” (decending order)
- Usage vector “pi”
- Allocated adress “a”
- Reset
- Memory writing “M”
- Link update “L”
- Precedence update “p”
- Read
- Find similar contents “c”
- Address generation
- Similar contents
- Forward
- Backward
- Read
- Helpful block diagram
- Questions unanswered
- What is oneplus??
Next Meeting
- Meeting Date: 23.07.2018
- Paper: Neural SLAM, Neural Map
- https://arxiv.org/abs/1706.09520
- https://arxiv.org/abs/1702.08360
- Useful Video: https://vimeo.com/252185932
Written on July 11, 2018