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If you apply a predetermined random pattern of sign flipping to an input array followed by the fast (Walsh) Hadamard transform you get a random projection of the input data. You can use that for unbi…
ghost updated
5 years ago
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Lets say I want to train a network like so:
`var sinNetwork = new Perceptron(1, 12, 1);`
And it is trained to find the `sin` function - which outputs values between -1 and 1.
How can I get the netwo…
agamm updated
8 years ago
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## Traceback:
```py
RuntimeError Traceback (most recent call last)
in ()
19
20 # Run inference using the instantiated models
---> 21 answers = model.get_…
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https://mp.weixin.qq.com/s/SmWtL267zd7cG3Vain0rLg
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In the docs you said inductive.js is running a BFS (breadth-first search) - and I checked the solver and was wondering if there is any kind of scheme, or even just idea, to run a parallel search to us…
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Whittington J C R, Muller T H, Mark S, et al. [The Tolman-Eichenbaum machine: Unifying space and relational memory through generalization in the hippocampal formation](https://www.sciencedirect.com/sc…
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A Hopfield network is an Ising-inspired neural network architecture used to implement associative memories. As such, it should be able to be implemented with DIMPLE in PyTorch.
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