Errors in the Training Classifier
Explore how to calculate error in a neural network training classifier by comparing predicted and actual outputs. Understand why the separator line should be positioned to distinguish data points properly. This lesson helps you grasp error calculation fundamentals essential for training and optimizing neural network models in Python.
We'll cover the following...
We'll cover the following...
Calculate an error
Let’s look at the first training example: the width is and the length is for a ladybug. If we tested the function with this example, where is , we would get:
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