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
Release history Release notifications | RSS feed
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
File details
Details for the file gpkg.mnist-0.1.0.post10-py2.py3-none-any.whl.
File metadata
- Download URL: gpkg.mnist-0.1.0.post10-py2.py3-none-any.whl
- Upload date:
- Size: 8.2 kB
- Tags: Python 2, Python 3
- Uploaded using Trusted Publishing? No
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 1f6b8fa0cbf1a4542066770ebe83ca9c738a0004ebf23a0dbbf5f3f3fe89c2da |
|
| MD5 | e41affa912d958f4cd25b0118e307dd9 |
|
| BLAKE2b-256 | 51e8bf95aeb260aa5a751360d7c4e71d726360105771fd936844a045db25c0fb |
