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by jmeyer2k
1950 days ago
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To expand, it tells you how you can change certain variables of a function to change the output of a function. In machine learning, you create a loss function that takes in modal parameters and returns how accurate the model is. Then, you can optimize the function inputs for accuracy. Automatic differentiation makes it much easier to code different types of models. |
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