Comments (3)
Just putting this here for near future reference:
- https://arxiv.org/abs/1510.00149
- http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.57.4343&rep=rep1&type=pdf
- https://datascience.stackexchange.com/questions/26755/cnn-how-does-backpropagation-with-weight-sharing-work-exactly
- https://www.quora.com/What-exactly-is-meant-by-shared-weights-in-convolutional-neural-network
from carrot.
With shared weights we could evolve convolutional neural networks.
But I think we need speciation, to really evolve those.
from carrot.
I want to use atomic numbers like the AtomicInteger class in Java.
So we can set the same atomic number to each node in a bundle with weight sharing. And all nodes could use and change the weight.
A first implementation could be found here: https://github.com/raimannma/carrot/blob/add-convolution/src/utils/Atomic.ts
We could also use this, to share biases and other things through many nodes / connections.
- Implement generic atomic class
- Implement number atomic class
- Use atomics for shared weights and biases
from carrot.
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from carrot.