Are batch size, epoch and dataset size all hyperparameters?
Thursday, 07 March 2024
by Jose' da Cruz
Batch size, epoch, and dataset size are indeed crucial aspects in machine learning and are commonly referred to as hyperparameters. To understand this concept, let's delve into 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
- Published in Artificial Intelligence, EITC/AI/GCML Google Cloud Machine Learning, First steps in Machine Learning, The 7 steps of machine learning
Tagged under:
Artificial Intelligence, Batch Size, Dataset Size, Epoch, Hyperparameters, Machine Learning
Is it correct that if dataset is large one needs less of evaluation, which means that the fraction of the dataset used for evaluation can be decreased with increased size of the dataset?
Saturday, 11 November 2023
by Hema Gunasekaran
In the field of machine learning, the size of the dataset plays a crucial role in the evaluation process. The relationship between dataset size and evaluation requirements is complex and depends on various factors. However, it is generally true that as the dataset size increases, the fraction of the dataset used for evaluation can be
- Published in Artificial Intelligence, EITC/AI/GCML Google Cloud Machine Learning, First steps in Machine Learning, Deep neural networks and estimators
Tagged under:
Artificial Intelligence, Dataset Size, Evaluation, Generalization, Machine Learning, Overfitting