Factual package intelligence from PyPI

Wide-Residual-Network 1.1 package intelligence

This package is for creating a wide residual convolutional neural network with keras and tensorflow as backend. This architecture was first introduced in the paper on https://arxiv.org/abs/1605.07146.

pip install wide-residual-network

Current version
1.1
Python requirement
Not declared
License
MIT
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
7.8 KiB
Release history
3 releases with files
Median release cadence
130 days

Wide-Residual-Network dependencies

PyPI declares 0 unique dependency rules for this release. Environment markers are shown when supplied by the project.

This release declares no required runtime dependencies in its PyPI metadata.

Compatibility and release files

Wide-Residual-Network publishes 1 wheel and 1 source archive for version 1.1. Wheel platform tags: any.

No version-specific Python classifiers are declared.

Metadata completeness

PyPI does not currently declare: Python requirement. PyDeps marks these fields as unknown instead of guessing values.

Release activity and sources

PyPI lists 3 releases with files. The first dated release is ; 3 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .