gpkg.mnist

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

Metadata

Release files for gpkg.mnist 0.1.0.post10

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Table of built distributions (wheels) for gpkg.mnist 0.1.0.post10
File	Interpreter	ABI	Platform	Actions Reset
gpkg.mnist-0.1.0.post10-py2.py3-none-any.whl 8.2 kB Oct 29, 2017 Without provenance	Python 2, Python 3	none	any	Details for gpkg.mnist-0.1.0.post10-py2.py3-none-any.whl

Release files / gpkg.mnist-0.1.0.post10-py2.py3-none-any.whl

Download URL	gpkg.mnist-0.1.0.post10-py2.py3-none-any.whl
Size	8.2 kB
Tags	Python 2 Python 3
SHA-256 checksum How to use checksums	`1f6b8fa0cbf1a4542066770ebe83ca9c738a0004ebf23a0dbbf5f3f3fe89c2da`
BLAKE2b-256 checksum How to use checksums	`51e8bf95aeb260aa5a751360d7c4e71d726360105771fd936844a045db25c0fb`
Upload date	Oct 29, 2017
Uploaded using Trusted Publishing? What is trusted publishing?	No

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