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Lint: batch-size-machine-learning

batch-size-machine-learning
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"mini-batch mode: where the batch size is greater than one but less than the total dataset size. Usually, a number that can be divided into the total dataset size."

Line 6:175 · Do not put full stops at the end of a list item.

"stochastic mode: where the batch size is equal to one. Therefore the gradient and the neural network parameters are updated after each sample."

Line 8:170 · Do not put full stops at the end of a list item.
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"batch mode: where the batch size is equal to the total dataset thus making the iteration and epoch values equivalent"

Line 4:1 · Generally, don't use bold in text: '<strong>batch mode</strong>'

"mini-batch mode: where the batch size is greater than one but less than the total dataset size. Usually, a number that can be divided into the total dataset size."

Line 6:1 · Generally, don't use bold in text: '<strong>mini-batch mode</strong>'

"stochastic mode: where the batch size is equal to one. Therefore the gradient and the neural network parameters are updated after each sample."

Line 8:1 · Generally, don't use bold in text: '<strong>stochastic </strong>'

"stochastic mode: where the batch size is equal to one. Therefore the gradient and the neural network parameters are updated after each sample."

Line 8:29 · Generally, don't use bold in text: '<strong>mode</strong>'
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