Epoch
An Epoch is a single complete pass of the entire training dataset through a machine learning model. Training typically consists of many epochs to allow the network to refine weights and biases based on multiple passes over the data.
Frequently Asked Questions
How does an epoch differ from a batch?▼
A batch is a small subset of the training data. An epoch is completed only when all batches in the dataset have passed through the network.
Can too many epochs be harmful?▼
Yes, running too many epochs can lead to overfitting, where the model memorizes the training data.
Quick Facts
- CategoryModel Training
- Key ApplicationModel training progress tracking, loss plotting, and optimization cycles
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