Determining the Right Batch Size for a Neural Network to Get Better and Faster Results

Guidelines for choosing the right batch size to maintain optimal training speed and accuracy while saving computer resources

Photo by Chor Tsang on Unsplash

In a previous post, we discussed that many hyperparameters need to be adjusted before training a natural network.

The learning rate is the most important hyperparameter that we need to configure before training.

The batch size is another important hyperparameter that we need to adjust before the training process because it directly impacts on the model’s performance and training time.

Beginners in deep learning always ask:

How to determine the right batch size that will help a neural network to achieve the highest performance in the shortest period of time.

In this post, I will address this question in depth by providing more details about the batch size.

What are batches and why do we need them?

Deep learning models require very large datasets to achieve high performance. When the dataset has thousands…