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Related Questions
- What is the role of momentum in stochastic gradient descent (SGD) and how does it affect convergence?
- How does the choice of momentum value influence the trade-off between convergence speed and overshooting?
- Can you explain the concept of 'momentum' in the context of deep learning and its impact on model convergence?
- What are the typical ranges of momentum values used in practice, and how do they relate to different types of problems?
- How does the choice of momentum value interact with other hyperparameters, such as learning rate and batch size?
- Can you provide examples of how different momentum values can lead to different convergence behaviors in a neural network?
- What are some common pitfalls or misconceptions about using momentum in deep learning, and how can they be avoided?
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