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How does neural network calculate loss function?

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  • 67 3
    What is loss function and why it is necessary in training. What are the parameters to be considered while building a loss function?
      July 21, 2021 10:16 PM IST
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    Loss functions provide more than just a static representation of how your model is performing–they’re how your algorithms fit data in the first place. Most machine learning algorithms use some sort of loss function in the process of optimization or finding the best parameters (weights) for your data.

    Importantly, the choice of the loss function is directly related to the activation function used in the output layer of your neural network. These two design elements are connected.

    Think of the configuration of the output layer as a choice about the framing of your prediction problem, and the choice of the loss function as the way to calculate the error for a given framing of your problem.

      July 22, 2021 12:37 PM IST
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  • 131 2
    Loss is nothing but a prediction error of Neural Net. And the method to calculate the loss is called Loss Function. In simple words, the Loss is used to calculate the gradients. And gradients are used to update the weights of the Neural Net
      August 23, 2021 7:59 PM IST
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    Loss is nothing but a prediction error of Neural Net. And the method to calculate the loss is called Loss Function. In simple words, the Loss is used to calculate the gradients. And gradients are used to update the weights of the Neural Net.
      August 13, 2021 3:44 PM IST
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