First Release: Perceptron Network
neural_network = Network()
- training_inputs = np.array([[0,0,1,0],
[1,1,0,0], [1,0,1,0], [0,1,1,0] ])
training_outputs = np.array([[0,1,1,0]]).T
neural_network.train(training_inputs, training_outputs, 1000)
neural_network.run(np.array([[0,0,0,0]]))
CHANGELOG
0.0.1(2/23/2022)
-First Release: Perceptron Network
1 maintainer
Release files for NeuNet 0.0.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| NeuNet-0.0.2.tar.gz | 2.8 kB | Details |
Release files / NeuNet-0.0.2.tar.gz
| Download URL | NeuNet-0.0.2.tar.gz |
|---|---|
| Size | 2.8 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
804e5ccbcde688f65565b96fa407b2d8bdc35d1a416b7afcac0e6f3290d61ff6
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102b9a6bdf2ccfe1e5fc50f0889194909033c7af6319ae34273ad5d58b8ed6b3
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twine/3.8.0 pkginfo/1.8.2 readme-renderer/30.0 requests/2.26.0 requests-toolbelt/0.9.1 urllib3/1.26.7 tqdm/4.62.3 importlib-metadata/4.8.1 keyring/23.2.1 rfc3986/1.5.0 colorama/0.4.4 CPython/3.10.0
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