Skip to main content

Keras Applications is the applications module of the Keras deep learning library. It provides model definitions and pre-trained weights for a number of popular archictures, such as VGG16, ResNet50, Xception, MobileNet, and more.

Read the documentation at: https://keras.io/applications/

Keras Applications may be imported directly from an up-to-date installation of Keras:

` from keras import applications `

Keras Applications is compatible with Python 2.7-3.6 and is distributed under the MIT license.

Metadata

Release files for Keras-Applications 1.0.8

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for Keras-Applications 1.0.8
File Size Uploaded Provenance
Keras_Applications-1.0.8.tar.gz 289.1 kB Without provenance Details

Built distribution (wheel)

Table of built distributions (wheels) for Keras-Applications 1.0.8
File Interpreter ABI Platform
Keras_Applications-1.0.8-py3-none-any.whl Python 3 none any Details

Total release size: 339.8 kB

Release files / Keras_Applications-1.0.8.tar.gz

Download URL Keras_Applications-1.0.8.tar.gz
Size 289.1 kB
Tags Source
SHA-256 checksum
How to use checksums
5579f9a12bcde9748f4a12233925a59b93b73ae6947409ff34aa2ba258189fe5
BLAKE2b-256 checksum
How to use checksums
21564bcec5a8d9503a87e58e814c4e32ac2b32c37c685672c30bc8c54c6e478a
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/1.13.0 pkginfo/1.5.0.1 requests/2.21.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.32.1 CPython/3.6.5

Release files / Keras_Applications-1.0.8-py3-none-any.whl

Download URL Keras_Applications-1.0.8-py3-none-any.whl
Size 50.7 kB
Tags Python 3
SHA-256 checksum
How to use checksums
df4323692b8c1174af821bf906f1e442e63fa7589bf0f1230a0b6bdc5a810c95
BLAKE2b-256 checksum
How to use checksums
71e319762fdfc62877ae9102edf6342d71b28fbfd9dea3d2f96a882ce099b03f
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/1.13.0 pkginfo/1.5.0.1 requests/2.21.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.32.1 CPython/3.6.5

Security for Keras-Applications 1.0.8

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.

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page