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-0.3.0.dev1-py2.py3-none-any.whl (8.5 kB view details)

Uploaded Python 2 Python 3

File details

Details for the file gpkg.mnist-0.3.0.dev1-py2.py3-none-any.whl.

File metadata

File hashes

Hashes for gpkg.mnist-0.3.0.dev1-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 4c750ab04cc1e3bb846d2c54dc59236ba6280d8e16692f994ec443a166a4fe97
MD5 5d6544df35cacf21cfe6100ff7dac63d
BLAKE2b-256 68f8620d433f23953e99c4879b3e13ed91b0fabae5d357d363a69bedbd433c27

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