data augmentation

Travis chat

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 ...

Advanced Data Augmentation Strategies

Towards Data Science

Deep Learning models love data. There is no better way to quickly boost the performance of your deep learning model than to add more training data to it. However, collecting and labeling data can be…

Data Augmentation Experimentation

Towards Data Science

This follows up on my earlier article about data augmentation: Data Augmentation using Fastai. Invariance is the ability of convolutional neural networks to classify objects even when they are placed…...

Data Augmentation and Images

Towards Data Science

One of the best ways to improve the performance of a Deep Learning model is to add more data to the training set. Aside from gathering more instances from the wild that are representative of the…

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...

Image Data Augmentations

Towards Data Science

Curation of image data augmentation methods in the literature with highlights from the papers Continue reading on Towards Data Science

Image Augmentation

Analytics Vidhya

Part A: Introduction to Image Augmentation, various augmentation techniques, and its implementation through available libraries. Part B: Building and training a PyTorch model and analyzing the effect…...

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…

Unsupervised Data Augmentation

Towards AI

The more data we have, the better the performance we can achieve. However, it is very too luxury to annotate a large amount of training data. Therefore, proper data augmentation is useful to boost up…...

Image Augmentation

Dive intro Deep Learning Book

In Section 8.1 , we mentioned that large datasets are a prerequisite for the success of deep neural networks in various applications. Image augmentation generates similar but distinct training example...

Data Augmentation in Deep Learning

Analytics Vidhya

Whenever you build and train a model for a machine learning task, regardless of its being a classification or regression one, your final goal is to make reliable predictions on new, never seen before…...

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… Continue reading on Towards AI