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Deep Learning Course - Level: Beginner
A learnable parameter is simply a parameter within a neural network that is learned by the network during training. Learnable parameters are also referred to as trainable parameters.
During the training process, a gradient descent-based optimization algorithm works to learn and optimize the weights and biases in a neural network to minimize its loss. These weights and biases are indeed learnable parameters.
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