J.COp DL
J.COp DL is a deep Learning package to complement pytorch workflow. It includes pytroch callbacks and metrics.
The project started in August 2019 as a tool to teach deep learning for beginner. Together with LuWiji and J.COp ML, J.COP DL is developed by Wira D. K. Putra as complementary for his machine learning curriculum for young machine learning enthusiast.
User Installation Guide
pip install jcopdl
1 maintainer
Metadata
1 maintainer
Release files for jcopdl 2.3.3
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 |
|---|---|---|---|---|
| jcopdl-2.3.3.tar.gz | 29.9 kB | Without provenance | Details for jcopdl-2.3.3.tar.gz |
Release files / jcopdl-2.3.3.tar.gz
| Download URL | jcopdl-2.3.3.tar.gz |
|---|---|
| Size | 29.9 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
a270b236ed6a89727e0802809ee184f0377d5aed2877aa5618256e3c40b586e4
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BLAKE2b-256 checksum How to use checksums |
b85adffb7f45ba23ece1982f4d373739be022726a9434215103a967ce3e31410
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.0 CPython/3.10.14
|
Security for jcopdl 2.3.3
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