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Deep Learning Course - Level: Beginner
In this lesson, we'll learn about learnable parameters within a convolutional neural network and how to determine how many of these parameters exists per-layer and in the network as a whole.
The total number of learnable parameters influences the size of the network on disk and in-memory. We can generally use the number of learnable parameters as a rough measure of model complexity, with more complex models having a larger number of learnable parameters.
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