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What does 'epoch' refer to in the context of training a neural network?
What does 'epoch' refer to in the context of training a neural network?
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What does 'epoch' refer to in the context of training a neural network?
A single pass through the entire training dataset
The number of layers in the network
The learning rate schedule
The size of the training batch
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An epoch is one complete pass through the entire training dataset during the training process of a neural network.
Questions & Step-by-step Solutions
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Q: What does 'epoch' refer to in the context of training a neural network?
Solution:
An epoch is one complete pass through the entire training dataset during the training process of a neural network.
Steps: 5
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Step 1: Understand that a neural network learns from data.
Step 2: The training dataset is the collection of examples used to teach the neural network.
Step 3: An epoch means going through all the examples in the training dataset once.
Step 4: During an epoch, the neural network makes predictions and adjusts itself based on the errors.
Step 5: After one epoch, the neural network has seen all the training data once.
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