Batch Size

A Batch Size is a count of examples in a machine learning batch.

• See: Machine Learning Batch, Batch Algorithm, Batch Learning, Mini-Batch.

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References

2018

• (Google ML Glossary, 2018) ⇒ (2018). batch size. In: Machine Learning Glossary https://developers.google.com/machine-learning/glossary/ Retrieved: 2018-04-22.
  • QUOTE: The number of examples in a batch. For example, the batch size of SGD is 1, while the batch size of a mini-batch is usually between 10 and 1000. Batch size is usually fixed during training and inference; however, TensorFlow does permit dynamic batch sizes.

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