Understanding how weights change model accuracy
Imagine you have to make a prediction for a single data point. The actual value of the target is 7. The weight going from node_0
to the output is 2, as shown below. If you increased it slightly, changing it to 2.01, would the predictions become more accurate, less accurate, or stay the same?
This exercise is part of the course
Introduction to Deep Learning in Python
Hands-on interactive exercise
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