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Hi, I'm trying to load up a simple multi-layer network in order to visualize it. It's in the following format:
**n1 l1 n2 l2 w (node1, layer1, node2, layer2, weight)**
**I then use this code:**
`…
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#### Issue Description
I am attempting to train models in parallel using threading or ExecutorService. In doing so, process memory seems to continually grow until an OutOfMemoryError is thrown. B…
copeg updated
5 years ago
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Noting this here to keep track. Need further investigation on how listeners are being used and how to get them working for most layers / models. Currently only called under multi-layer and doBackWard.…
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Script identification is a crucial step in digitizing multilingual documents. In addition
to simplifying the OCR process, it could be used for many other tasks like document
indexing, routing, and c…
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https://arxiv.org/abs/1406.2661
We propose a new framework for estimating generative models via an adversarial process, in which we simultaneously train two models: a generative model G that captures…
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I am having some trouble in getting a single continuous variable out of a network. I am using the following code:
```
public NeuralNetModel generate(List labeledPoints) {
if (labeledPoint…
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In recent times, Machine Learning (ML) based algorithms have been able to achieve
very promising results on many pattern recognition tasks, such as speech, handwriting,
activity and gesture recogn…
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OK, so I'm going through the back-prop implementation, which is implemented in MultiLayerNetwork.doBackward() and BaseLayer.backwardGradient().
There are a number of significant issues here.
First I'…
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Hello,
Is there any implementation multilayer networks (or multiplex, hypergraph, etc.)? I would really appreciate such.
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I'm looking how to create multilayer networks on `networkx` but I think it's not possible because node index are dictionaries and I can't merge two different graphs. What should I try?