Package examples.cnn.mnist.advanced

Functions

lenetWithAlternativeLossFunction
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fun lenetWithAlternativeLossFunction()

This example shows how to do image classification from scratch using lenet5Classic, without leveraging pre-trained weights or a pre-made model. We demonstrate the workflow on the Mnist classification dataset.

lenetWithEarlyStoppingCallback
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fun lenetWithEarlyStoppingCallback()

This example shows how to do image classification from scratch using lenet5Classic, without leveraging pre-trained weights or a pre-made model. We demonstrate the workflow on the Mnist classification dataset.

lenetWithTimeStoppingCallback
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fun lenetWithTimeStoppingCallback()

This example shows how to do image classification from scratch using lenet5Classic, without leveraging pre-trained weights or a pre-made model. We demonstrate the workflow on the Mnist classification dataset.

main
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fun main()
fun main()
fun main()
fun main()
modernLenetWithRegularizers
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fun modernLenetWithRegularizers()

This example shows how to do image classification from scratch using modernLeNet, without leveraging pre-trained weights or a pre-made model. We demonstrate the workflow on the Mnist classification dataset.