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What Is Weight Initialization In Neural Networks? |
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Answer» Weight initialization is one of the very IMPORTANT STEPS. A bad weight initialization can prevent a network from learning but good weight initialization helps in giving a quicker convergence and a BETTER OVERALL error. Biases can be generally INITIALIZED to zero. The rule for setting the weights is to be close to zero without being too small. Weight initialization is one of the very important steps. A bad weight initialization can prevent a network from learning but good weight initialization helps in giving a quicker convergence and a better overall error. Biases can be generally initialized to zero. The rule for setting the weights is to be close to zero without being too small. |
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