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Vanishing & Exploding Gradients Explained by devanshijaiswal7 is a document available to read on EtoBox.
What is Vanishing & Exploding Gradients Explained about?
The document discusses two issues in neural network training: vanishing gradients, where error gradients become too small to effect weight updates, and exploding gradients, where they become excessively large, disrupting learning. Solutions for exploding gradients include lower learning rates, gradient clipping, and gradient scaling. Both phenomena hinder the convergence of the model during backpropagation.
- Author
- devanshijaiswal7
- Language
- EN