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Data augmentation

TensorFlow Tutorials 709e1de719570cc97e5223f8d33d746e7b2e710e_0

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...

Data Augmentation

Kaggle Learn Courses 4f6a0d26fc54cb89c9be454a8a84e5d36db5ad0f_0

<!--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 400cfbdfb456a8af347b296a33fbff41b11170a1_0

<!--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 08f745c502bda31289cd7a89b39087a48f2f1555_0

<!--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 ...

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

Towards AI 7b3ed2b3faf6b18493f5e97f2e9fc4cbc14f19fd_0

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…

Text Data Augmentation

Towards Data Science 47f4347c6965edf7ed939e15a7001b601b295d39_0

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…

A Short Survey on Implicit Data Augmentation

Towards Data Science 0b757d8d1337f0977ec70c8218deff6561261561_0

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 fastai

Towards Data Science 76e1eb9e55b83f80b9907a7f37a97aecbc33a8bf_0

Data augmentation refers to randomly applying various kinds of transforms to the images in our dataset. These transforms help introduce more variety in our dataset. Let’s see what that means…

Exploring Image Data Augmentation with Keras and Tensorflow

Towards Data Science 961dc346d8a463c518e1d7ae288e22ad3b9b9688_0

Data augmentation is a strategy used to increase the amount of data by using techniques like cropping, padding, flipping, etc. Data augmentation makes the model more robust to slight variations, and…

Data Augmentation: What, Why and How……

Analytics Vidhya 811cce783493ab274b057b26bf2ec1552949cbaf_0

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…

Balancing the Regularization Effect of Data Augmentation

Towards Data Science 0340d7e0e7f246504bf5090c7ebeb72c36791458_0

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…...

Data Augmentation Techniques using OpenCV

Analytics Vidhya 3c05501f048d22b03c3bcc7ef92377f9e7a1000a_0

Data augmentation is a strategy that enables practitioners to significantly increase the diversity of data available for training models, without actually collecting new data. Data augmentation…