A Gradient Network typically refers to a neural network architecture specifically designed to work with gradient-based optimization methods. However, the term might also appear in different contexts, so the exact meaning can vary based on the specific application or field. In the context of machine learning and neural networks, a Gradient Network could involve concepts such as: 1. **Gradient Descent Optimization**: This fundamental technique is used to minimize loss functions in training neural networks.
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