NeuralNetworks Module
Module complet pour la création et l'entraînement de MultiLayer Perceptrons (MLP)
avec encodage optionnel Fourier Features et gestion automatique des pertes.
1 maintainer
Metadata
1 maintainer
Release files for NeuralNetworks 1.0.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| neuralnetworks-1.0.0.tar.gz | 24.7 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| neuralnetworks-1.0.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 57.2 kB
Release files / neuralnetworks-1.0.0.tar.gz
| Download URL | neuralnetworks-1.0.0.tar.gz |
|---|---|
| Size | 24.7 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.13.12
|
Release files / neuralnetworks-1.0.0-py3-none-any.whl
| Download URL | neuralnetworks-1.0.0-py3-none-any.whl |
|---|---|
| Size | 32.4 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
9e3bbfe61eb43c27539af75773cb8ec0b59c3b101ff7a7445669fc70efc5a0cf
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.13.12
|
