Skip to main content

CNN and softmax regression classifiers for MNIST digits

Project description

Models

mnist-softmax

Softmax regression classifier for MNIST

Operations

train

Train the softmax regression

Flags

batch-size

Number of images to include in a training batch (default is 100)

epochs

Number of epochs to train (default is 10)

mnist-cnn

CNN classifier for MNIST

Operations

train

Train the CNN

Flags

batch-size

Number of images to include in a training batch (default is 100)

epochs

Number of epochs to train (default is 10)

References

Modelfile: https://github.com/guildai/index/tree/master/mnist/MODELS

Project details


Download files

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

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distribution

gpkg.mnist-0.1.2.dev7-py2.py3-none-any.whl (8.5 kB view details)

Uploaded Python 2 Python 3

File details

Details for the file gpkg.mnist-0.1.2.dev7-py2.py3-none-any.whl.

File metadata

File hashes

Hashes for gpkg.mnist-0.1.2.dev7-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 044630f3b3066f9f94a42fa8638cd80a60a663310a874329e4c4f758be33a0fd
MD5 7065fa7dc7b9ed04cd5c8a5212be093b
BLAKE2b-256 8df7bae4061543636af6177f9acd48176d13e8f0f55f3920031b85afcc6e29f3

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page