batch-training
Expanded definition
Batch training involves dividing the entire dataset into smaller batches and training the model on these batches sequentially. This approach allows for more efficient use of computational resources and can lead to faster convergence of the model. It is particularly useful for large datasets where loading the entire dataset at once is impractical.
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batch-training FAQ
What is batch-training?
A method of training machine learning models using a subset of the dataset in each iteration.
How is batch-training used in AI systems?
Batch training involves dividing the entire dataset into smaller batches and training the model on these batches sequentially. This approach allows for more efficient use of computational resources and can lead to faster convergence of the model. It is particularly useful for large datasets where loading the entire dataset at once is impractical.
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