CNN and multinomial logistic regression classifiers for MNIST digits (Guild AI)
Project description
gpkg.mnist
CNN and multinomial logistic regression classifiers for MNIST digits (Guild AI)
Models
cnn
CNN classifier for MNIST
Operations
evaluate
Evaluate a trained CNN
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 5)
- learning-rate
Learning rate (default is 1e-4)
logreg
Multinomial logistic regression classifier for MNIST
Operations
evaluate
Evaluate a trained logistic regression
train
Train the logistic regression
Flags
- batch-size
Number of images to include in a training batch (default is 100)
- epochs
Number of epochs to train (default is 5)
- learning-rate
Learning rate (default is 0.5)
samples
Sample MNIST images
Operations
prepare
Generate a set of sample MNIST images
Flags
- count
Number of images to generate (default is 100)
_check
Operations
all
cnn
logreg
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- Tags: Python 2, Python 3
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