What’s the problem of exploding gradients in Machine Learning?

The problem of exploding gradients is a common issue in machine learning, particularly in deep neural networks. It occurs when the gradients in the network become very large during training, causing numerical instability and making it difficult or impossible for the optimizer to find a good solution.