dropblock · PyPI

Some features may not work without JavaScript. Please try enabling it if you encounter problems.

Implementation of DropBlock: A regularization method for convolutional networks in PyTorch.

Project description

The author of this package has not provided a project description

Project details

Release history Release notifications | RSS feed

0.3.0

Dec 17, 2018

0.2.1

Nov 29, 2018

0.2.0

Nov 14, 2018

This version

0.1.0

Nov 4, 2018

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

dropblock-0.1.0.tar.gz (2.2 kB view hashes)

Uploaded Nov 4, 2018 Source

Built Distribution

dropblock-0.1.0-py3-none-any.whl (3.1 kB view hashes)

Uploaded Nov 4, 2018 Python 3

Hashes for dropblock-0.1.0.tar.gz

Hashes for dropblock-0.1.0.tar.gz
Algorithm	Hash digest
SHA256	`6c0865e3105bcca3ef0b42bd37cdea0706564c4a2c0bba074220dc48352c7985`
MD5	`9795dcf790d7a5baa3a5e7160083040d`
BLAKE2b-256	`cdadd72c8ed1843f80901a427aab178e34add52e0ac9bcd9a1047de83b70c93f`

Hashes for dropblock-0.1.0-py3-none-any.whl

Hashes for dropblock-0.1.0-py3-none-any.whl
Algorithm	Hash digest
SHA256	`36b14967a0eea52281dc4d74e2c445bffc3b61558b00966441a489f7f34712e9`
MD5	`4a030bcd90e3803ed98179bf6cc2570b`
BLAKE2b-256	`42e9ea1afa72c7114685e6e971e23d68151eea00de171c2c7a6b9872c600be33`

Supported by

AWS

AWS Cloud computing and Security Sponsor

Datadog

Datadog Monitoring

Fastly

Google

Google Download Analytics

Microsoft

Microsoft PSF Sponsor

Pingdom

Pingdom Monitoring

Sentry

Sentry Error logging

StatusPage

StatusPage Status page