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

Model 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

Model 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.dev1-py2.py3-none-any.whl (8.6 kB view details)

Uploaded Python 2 Python 3

File details

Details for the file gpkg.mnist-0.1.2.dev1-py2.py3-none-any.whl.

File metadata

File hashes

Hashes for gpkg.mnist-0.1.2.dev1-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 eb4e415bb0d9736ce0f679456fd366ad2582b4413566a84d4fe4bc38d70a1b66
MD5 5bf9cb3191bdcb99610ef5c95e2c2a59
BLAKE2b-256 2833c81e8e7de1fa689b4736cd07ef8085b8b50b6a70505263347bff5c3769ff

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