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Related Questions
- What is the typical relationship between batch size and the number of forward passes during model training?
- How does the choice of batch size impact the frequency of backward passes in a model's training process?
- What are the potential consequences of a large batch size on the number of forward and backward passes in model training?
- Can a small batch size lead to more frequent backward passes and affect model convergence?
- How does the choice of batch size influence the overall computational requirements for forward and backward passes in model training?
- In what scenarios would a batch size of 1 or a single sample be used, and how would this impact the number of forward and backward passes?
- What are the implications of a very large batch size on the number of forward passes, and could this lead to issues with model generalization?
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