if you are practitioner of machine learning, you should code a neural net from scratch.
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1 maintainer
Release files for lamnet 0.1.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| lamnet-0.1.0.tar.gz | 7.3 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| lamnet-0.1.0-py2.py3-none-any.whl | Python 3, Python 2 | none | any | Details |
Total release size: 13.4 kB
Release files / lamnet-0.1.0.tar.gz
| Download URL | lamnet-0.1.0.tar.gz |
|---|---|
| Size | 7.3 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
5e9c18005fd348381a3fb324bdf6e5d230d57427ddae804d59af9cc977b68481
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BLAKE2b-256 checksum How to use checksums |
6be0e5acfa48053a84c9a907f3876dd11df08d7909682a01db9c3364a9734877
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
Release files / lamnet-0.1.0-py2.py3-none-any.whl
| Download URL | lamnet-0.1.0-py2.py3-none-any.whl |
|---|---|
| Size | 6.1 kB |
| Tags | Python 2 Python 3 |
|
SHA-256 checksum How to use checksums |
c29ea009491d1c7aa5298cc59032ecbe1356dc7ffe3dd5643cb6f15a92ec93ca
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|
BLAKE2b-256 checksum How to use checksums |
5485496d5d3b7e5c3458158f8b0762ced1a7940c687033908e07f393b8382820
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
Security for lamnet 0.1.0
Provenance
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No provenance found
None of the files in this release were uploaded with provenance metadata.
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