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
_check
Operations
all
cnn
logreg
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 0.0001)
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)
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- Tags: Python 2, Python 3
- Uploaded using Trusted Publishing? No
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