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Text Data Augmentation

Towards Data Science

Data Augmentation is the process that enables us to increase the size of the training data without actually collecting the data. But why do we need more data? The answer is simple — the more data we…

Data Augmentation

Kaggle Learn Courses

<!--TITLE:Data Augmentation-- Introduction Now that you've learned the fundamentals of convolutional classifiers, you're ready to move on to more advanced topics. In this lesson, you'll learn a trick ...

Data Augmentation

Kaggle Learn Courses

<!--TITLE:Data Augmentation-- Introduction Now that you've learned the fundamentals of convolutional classifiers, you're ready to move on to more advanced topics. In this lesson, you'll learn a trick ...

Data Augmentation

Kaggle Learn Courses

<!--TITLE:Data Augmentation-- Introduction Now that you've learned the fundamentals of convolutional classifiers, you're ready to move on to more advanced topics. In this lesson, you'll learn a trick ...

Data augmentation

TensorFlow Tutorials

Overview This tutorial demonstrates data augmentation: a technique to increase the diversity of your training set by applying random (but realistic) transformations, such as image rotation. You will l...

Maximizing the Impact of Data Augmentation: Effective Techniques and Best Practices

Towards AI

Data augmentation is a popular technique in machine learning that involves creating new data from existing data by making various modifications to it. These modifications could include adding noise…

How to Perform Data Augmentation in NLP Projects

Towards Data Science

A simple way to conduct Data Augmentation by using TextAttack Library Image by Gerd Altmann from Pixabay In machine learning, it is crucial to have a large amount of data in order to achieve strong m...

Data Augmentation: What, Why and How……

Analytics Vidhya

Data augmentation is a regularization technique like Lasso, Hinge, L1, and L2 regularizations, it also participates with great help during any machine learning model training process. In general…

Powerful Text Augmentation using NLPAUG !

Towards Data Science

Data Augmentation is the practice of synthesizing new data from data at hand. This could be applied to any form of data from numbers to images. Usually, the augmented data is similar to the data that…...

A Short Survey on Implicit Data Augmentation

Towards Data Science

Data augmentation is a popular technique used to increase the generalizability of a possibly overfitting model. By generating additional training data and exposing the model to different versions of…

Data Augmentations in Torchvision

Towards Data Science

This blog aims to compare and familiarise with different data transformations techniques used by the research community Image by author. Introduction Why do we need data augmentation? Data augmentati...

Balancing the Regularization Effect of Data Augmentation

Towards Data Science

When training neural networks, data augmentation is one of the most commonly used pre-processing techniques. The word “augmentation” which literally means “the action or process of making or becoming…...