Web Reference: Jan 15, 2026 · Exploding gradients occur when gradients grow too large during backpropagation, leading to unstable weight updates and divergence in loss. When derivatives or weights are greater than 1, their repeated multiplication across layers leads to exponential growth. Dec 6, 2023 · Exploding gradients refer to a scenario in neural networks where the gradients become exceedingly large during training. These abnormally large gradients cause updates to the model’s weights to be excessively high, destabilizing the learning process. Jun 12, 2023 · Gradients are arguably the most important fundamental concept in machine learning. In this post we will explore the concept of gradients, what makes them vanish and explode, and how to rein them in.
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