Standard 2 stops to get here

Epoch

One complete pass through the entire training dataset during the training process.

Your route here

2 stops · basics first
  1. Dataset ✓ understood

    A collection of data examples used for training, validating, or testing machine learning models.

  2. Training ✓ understood

    The process of fitting a model to data by repeatedly measuring how wrong its outputs are and adjusting its parameters to reduce that error.

  3. Epoch · you are here ✓ understood

Where it sits

Before this

Training
Epoch

Leads to

Nothing yet: a destination in its own right.

Explore nearby

Training Batch Size The number of training examples processed together in one forward/backward pass. Training Mini-Batch Gradient Descent Computing gradients on small batches of data, balancing SGD's noise with full-batch GD's stability. Training Early Stopping Stopping training when validation performance stops improving, preventing overfitting. Training Learning Rate Schedule A strategy for adjusting the learning rate during training (decay, warm-up, cosine annealing) to improve convergence.