Non-Linear Augmentations For Deep Learning

By Medium - 2021-03-14

Description

In recent years, deep learning has made tremendous progress in developing systems that can learn from carefully labelled data. But, the deep learning models are very data-hungry and requires a…

Summary

  • Augment your data with fisheye view in pytorch In recent years, deep learning has made tremendous progress in developing systems that can learn from carefully labelled data.
  • Result(right) of Horizontal WaveTransformation applied on a checkerboard image(left).
  • Horizontal wave transformation transforms the given image in the shape of the cosine wave of given amplitude and frequency.
  • (Image By Author) The figure above shows the effect of horizontal wave transformation over a checkerboard image.
  • Let’s start with the fisheye transformation first.

 

Topics

  1. Backend (0.42)
  2. Machine_Learning (0.36)
  3. Database (0.15)

Similar Articles

Targeted adversarial attacks with Keras and TensorFlow

By PyImageSearch - 2020-10-26

In this tutorial, you will learn how to perform targeted adversarial attacks and construct targeted adversarial images using Keras, TensorFlow, and Deep Learning. Last week’s tutorial covered untarget ...

A Beginner’s Guide to the CLIP Model

By KDnuggets - 2021-03-11

CLIP is a bridge between computer vision and natural language processing. I'm here to break CLIP down for you in an accessible and fun read! In this post, I'll cover what CLIP is, how CLIP works, and ...