EMERGING TRENDS IN COMPUTING
ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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Which of the following would have a constant input in each epoch of training a Deep Learning model?
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Weight between input and hidden layer
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Weight between hidden and output layer
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Biases of all hidden layer neurons
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Activation function of output layer
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Explanation:
Detailed explanation-1: -Explanation : Weights between input and hidden layer are constant.
Detailed explanation-2: -An epoch is when all the training data is used at once and is defined as the total number of iterations of all the training data in one cycle for training the machine learning model. Another way to define an epoch is the number of passes a training dataset takes around an algorithm.
Detailed explanation-3: -In terms of artificial neural networks, an epoch refers to one cycle through the full training dataset. Usually, training a neural network takes more than a few epochs.
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