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.dev8-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.dev8-py2.py3-none-any.whl.

File metadata

File hashes

Hashes for gpkg.mnist-0.1.2.dev8-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 be34ed24df6f7fb5e0fea7a4db31e01702d7777db1b3b50e96be93f43d7e0e9b
MD5 22e1a90bb7b204d8bdce187aec718024
BLAKE2b-256 f6c6d42b62b4dcad80c4bee9506816ca55dd5afa9974a553f241040f65a30640

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