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Deep Learning Course - Level: Beginner
When we train a neural network, we're attempting to solve an optimization problem. Specifically, we're trying to optimize the values of the weights within the model that lead to the lowest loss.
For classification tasks, we can minimize the loss of the network by finding the weights that most accurately map our input data to the correct output class. This mapping is what the network must learn during training.
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