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http://dx.doi.org/10.1101/039800
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Hi, thanks so much for releasing this code, it's already helped a bunch in helping me go from very basic MNIST models to something more sophisticated.
I'm trying to run your code now but it dies whe…
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Hi, I have a function that trains an autoenconder and I call it roughly 20 times. Inside the function I do:
``` python
def myfunc(traindata):
...
traindata_th = np.array(traindata, dtype=thea…
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If the users can see the result of encoder matrix, they will be easier to debug, I would like to write a function to visualize result of training.If mlpack already have this function, please close thi…
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Hi Guys,
I was trying out a toy example using autoencoders in Keras. I have a input which has 10000 examples of size 174. I want to run the case where there is one sparse hidden layer is also of dime…
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@viorik I was able to install the package (added installation instructions to the Wiki) and I am now trying to test it on a simple example, which is an adaptation of this example:
https://github.com/t…
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We should implement some commonly used regularizers (L1, L2, sparsity penalties on the activations as in sparse autoencoders, ...).
How should we do this? The `nntools.regularization` module I includ…
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私信
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**Reported by siddharth 950 on 15 Dec 44278134 12:52 UTC**
I have written a new Sparse Autoencoder module. Right now it has the basic necessities for it to run, there are a lot of tweaks that can be a…
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I save out a network like so:
e = Experiment(Regressor, layers=(input_layer, hidden1, output_layer), optimize='hf', num_updates=30, verbose='True')
e.run(dataset, dataset)
e.save('network.dat')
The…