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What is the meaning of term weight initialization in neural networks?
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Answer / Yadvendra Kumar Singh
Weight initialization refers to the process of initializing the weights and biases in a neural network before training. Proper weight initialization can affect the stability, convergence properties, and final performance of the model. Common weight initialization methods include Xavier initialization, He initialization, and random initialization.
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