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How is it possible to create some simple NN, for example, pretrained perceptron with given number of layers and all given weights, and execute it forward?
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Are feed forward Neural Networks something that is desired in sklearn?
Ones with back propagation and transfer functions?
I have some code but not sure if I should submit it.
ccsv updated
10 years ago
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![screenshot 2014-04-15 20 13 08](https://cloud.githubusercontent.com/assets/91108/2715736/248ee0fc-c515-11e3-8e49-55e5a68cc2f3.png)
(from @matthewfl)
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Hi,
There are 3 failing tests on HEAD, is it expected? The following commands were used:
```
$ git clone git://github.com/SergioFierens/ai4r.git
Cloning into 'ai4r'...
remote: Counting objects: 1165…
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When I test my trained networks on the training sets themselves, I end up with 53% error.
Does that seem somewhat strange? Perhaps the features are just not good features.
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All tutorials in `pylearn2/scripts/tutorials` should not get broken, and be updated when the interface changes or things get deprecated.
Here is the status of current tutorials:
- [x] `convolutional_…
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hello,
i'm working with the last ml.mlp (alpha 10) and trying to confirm that previous issues are worked out. i'm not able to get good values out of ml.mlp. i'm training with 3-inputs (iphone accel)…
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The other notebooks (softmax_regression, convolutional_network) dont have this problem.
Also the build time of this page is long (compared to the other pages)
Using OS X
python 2.7.3
ipython 0.13.1
udibr updated
11 years ago
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Nicolas and Arthur are working on this, I believe
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what i imagine for MLP is a system where you associate N-dim input vectors with M-dim output vectors. during training, one would associate a number of samples of N-dimensional vectors to produce a ce…