The Importance of Neural Networks & Machine Learning – IoEBusiness.com

The performance of ML models i.e deep learning neural network models depends on the volume and variation of data. Thus, large datasets are crucial for the training of the neural network models to achieve the accuracy expected in the production-ready model. For example, you have a small quantity of the dataset available which is not enough to train a model, and you don't know how to generate a sufficient dataset with desired data variations. That is exactly what'data augmentation' helps to achieve. Data Augmentation is a technique to artificially increase the volume of a dataset by adding variations to the existing dataset and adding it to the original dataset to generate'slightly modified and multiplied' data.