ffnet: feed-forward neural network for python
Basic usage of the package:
>>> from ffnet import ffnet, mlgraph, savenet, loadnet, exportnet
>>> conec = mlgraph( (2,2,1) )
>>> net = ffnet(conec)
>>> input = [ [0.,0.], [0.,1.], [1.,0.], [1.,1.] ]
>>> target = [ [1.], [0.], [0.], [1.] ]
>>> net.train_tnc(input, target, maxfun = 1000)
>>> net.test(input, target, iprint = 2)
>>> savenet(net, "xor.net")
>>> exportnet(net, "xor.f")
>>> net = loadnet("xor.net")
>>> answer = net( [ 0., 0. ] )
>>> partial_derivatives = net.derivative( [ 0., 0. ] )
For instalation instructions and documentation go to http://ffnet.sourceforge.net.
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Release files for ffnet 0.8.6
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| ffnet-0.8.6.tar.gz | 60.1 kB | Without provenance | Details for ffnet-0.8.6.tar.gz |
Release files / ffnet-0.8.6.tar.gz
| Download URL | ffnet-0.8.6.tar.gz |
|---|---|
| Size | 60.1 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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twine/5.0.0 CPython/3.12.2
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Security for ffnet 0.8.6
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