APPLICATION OF SUPERVISED LEARNING
ARTIFICIAL INTELLIGENCE
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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What are the commonly used loss functions? (Multiple choice)
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Mean variance
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Sigmoid cross entropy
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Sparse cross entropy
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Weighted Sigmoid Cross Entropy
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Explanation:
Detailed explanation-1: -Cross-entropy and mean squared error are the two main types of loss functions to use when training neural network models.
Detailed explanation-2: -Cross-Entropy as a Loss Function. Cross-entropy is widely used as a loss function when optimizing classification models. Two examples that you may encounter include the logistic regression algorithm (a linear classification algorithm), and artificial neural networks that can be used for classification tasks.
Detailed explanation-3: -Description: BCE loss is the default loss function used for the binary classification tasks. It requires one output layer to classify the data into two classes and the range of output is (0–1) i.e. should use the sigmoid function.
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