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In the context of neural networks, what does 'epoch' refer to?
In the context of neural networks, what does 'epoch' refer to?
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In the context of neural networks, what does 'epoch' refer to?
A single pass through the training dataset
The number of layers in the network
The learning rate adjustment
The size of the training batch
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An epoch refers to one complete pass through the entire training dataset during the training process.
Questions & Step-by-step Solutions
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Q: In the context of neural networks, what does 'epoch' refer to?
Solution:
An epoch refers to one complete pass through the entire training dataset during the training process.
Steps: 4
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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 is when the neural network looks at every example in the training dataset once.
Step 4: After one epoch, the neural network has completed one full cycle of learning from all the data.
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