Setting Hyperparameters

Let's set hyperparameters, which are parameters that significantly affect the performance of training.

Practice

1. Set Options: Adjust the slider on the right in the STEP 2 section or enter numbers directly.

2. Use the table below as a reference to set appropriate hyperparameters.

Hyperparameter	When Low	When High
Number of Epochs	Model may not learn sufficiently	Increased risk of overfitting
	Faster training time	Longer training time
Batch Size	Lower memory requirements	Higher memory requirements
	Unstable learning curve	Stable learning curve
Learning Rate	Slow learning speed	Fast learning speed
	Increased chance of overfitting	Increased chance of underfitting

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