![]() This procedure is known as an epoch when all the batches are fed into the model to train at once. This process of breaking it down to smaller bits is called batch in machine learning. These smaller batches can be easily fed into the machine learning model to train it. ![]() The training data is always broken down into small batches to overcome the issue that could arise due to storage space limitations of a computer system. It's a hyperparameter that determines the process of training the machine learning model. Therefore, Epoch, in machine learning, refers to the one entire passing of training data through the algorithm. ![]() Machine learning models are trained with specific datasets passed through the algorithm.Įach time a dataset passes through an algorithm, it is said to have completed an epoch. This learning aspect is developed by algorithms that represent a set of data. Machine learning is a field where the learning aspect of Artificial Intelligence (AI) is the focus.
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