EMERGING TRENDS IN COMPUTING
ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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A full pass over the training set, so every data point has been examined once
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Deployment
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Confidence score
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Epoch
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None of the above
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Explanation:
Detailed explanation-1: -An epoch elapses when an entire dataset is passed forward and backward through the neural network exactly one time. If the entire dataset cannot be passed into the algorithm at once, it must be divided into mini-batches. Batch size is the total number of training samples present in a single min-batch.
Detailed explanation-2: -In general, an excessive number of epochs may lead your model to overfit its training data. It indicates that your model is memorizing the data rather than learning it.
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