axonet
Utilities for neural network experiments.
A neural network is composed of layers of artificial neurons (loosely modeled after biological neurons connected by axons and synapses). Each neuron applies a learnable linear transformation followed by a nonlinearity. Modern architectures — feedforward, convolutional, recurrent, and transformer — all build on this core mechanic.
Install
pip install axonet
1 maintainer
Metadata
1 maintainer
Release files for axonet 0.1.5
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| axonet-0.1.5.tar.gz | 301.0 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| axonet-0.1.5-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 717.2 kB
Release files / axonet-0.1.5.tar.gz
| Download URL | axonet-0.1.5.tar.gz |
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| Size | 301.0 kB |
| Tags | Source |
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Release files / axonet-0.1.5-py3-none-any.whl
| Download URL | axonet-0.1.5-py3-none-any.whl |
|---|---|
| Size | 416.2 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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No |
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twine/6.2.0 CPython/3.14.3
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