What is batch size in machine learning?
An example of an AI chatbot conversation about batch size in machine learning.
What is batch size in machine learning?
Batch size refers to the number of training examples utilized in one iteration of model training.
Why is batch size important?
Batch size affects the training speed and the stability of the model's learning process.
What are the common batch sizes used?
Common batch sizes range from 16 to 256, but it can vary based on the dataset and model.
How do I choose the right batch size?
Choosing the right batch size often involves experimentation and depends on your specific dataset and hardware.
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