fastNeuron
what is it ?
this is a hobby project to build a small framework to create and deploy neural networks quickly...
how it all started ?
this is a project that i intended to make as an attempt to understand neural network and machine learning better...
i am a firm believer that building complex topics and ideas from scratch gives you a solid ground and grasp of the concepts...
installation
Mac / Linux
pip3 install fastNeuron
Windows
pip install fastNeuron
What can you do with it
Currently you can deploy any feed-forward neural network with any size.
You can choose what optimizer to use ,which activations functions ,which cost function...
NOTE: i am by no means an expert so if you have any improvements or found any bugs in the code please reach out!!
Metadata
Release files for fastNeuron 1.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| fastNeuron-1.1.tar.gz | 8.0 kB | Without provenance | Details for fastNeuron-1.1.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| fastNeuron-1.1-py3-none-any.whl | Python 3 | none | any | Details for fastNeuron-1.1-py3-none-any.whl |
Total release size: 16.6 kB
Release files / fastNeuron-1.1.tar.gz
| Download URL | fastNeuron-1.1.tar.gz |
|---|---|
| Size | 8.0 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
4944a5c98840638e8e736e6998c20301912ba6d93be101d8d7cbca4dfee282bc
|
|
BLAKE2b-256 checksum How to use checksums |
2f586c59c78b8bf4ede99e2fa06ce5e5e29fe64311ff1d5fad2bb2e427d93829
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.11.6
|
Release files / fastNeuron-1.1-py3-none-any.whl
| Download URL | fastNeuron-1.1-py3-none-any.whl |
|---|---|
| Size | 8.6 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
37aaa87690a40d5cb4c7fb77d3fde300e977f2ce54ec2b0a4e6a6172701b9745
|
|
BLAKE2b-256 checksum How to use checksums |
abd2a1dcea32f63f736a77cd91236730747f2d02dfd56c342005461a1a7728f5
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.11.6
|
Security for fastNeuron 1.1
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.