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-0.1.1.post1-py2.py3-none-any.whl (8.6 kB view details)

Uploaded Python 2 Python 3

File details

Details for the file gpkg.mnist-0.1.1.post1-py2.py3-none-any.whl.

File metadata

File hashes

Hashes for gpkg.mnist-0.1.1.post1-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 735bf0f4d00a5cc31152b522890e986599509c12cb4d697b21415d5b67420fc4
MD5 806e726b56515d7bf8a0666fbb55eb18
BLAKE2b-256 610b09dfa95d96af1275b9fb0aaea3e25289ae7f2a3a83faa111da243942b882

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