What is an epoch in the context of training model parameters?

In the context of training model parameters within machine learning, an epoch is a fundamental concept that refers to one complete pass through the entire training dataset. During this pass, the learning algorithm processes each example in the dataset to update the model's parameters. This process is important for the model to learn from the

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Are batch size, epoch and dataset size all hyperparameters?

Batch size, epoch, and dataset size are indeed important aspects in machine learning and are commonly referred to as hyperparameters. To understand this concept, let's consider each term individually. Batch size: The batch size is a hyperparameter that defines the number of samples processed before the model's weights are updated during training. It plays a

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