Image Feature Extraction Using PyTorch

By Medium - 2021-03-22

Description

In summary, this article will show you how to implement a CNN for feature extraction and how to cluster images using the K-Means.

Summary

  • Case Study: Also, I will show you how to cluster images based on their features using the K-Means algorithm.
  • Therefore, we need a method to extract those features, and that’s where the convolutional neural network (CNN) comes in.
  • Here is the blueprint of the VGG model before we modify it.

 

Topics

  1. Machine_Learning (0.38)
  2. Backend (0.25)
  3. NLP (0.14)

Similar Articles

Semantic hand segmentation using Pytorch

By Medium - 2020-12-02

Semantic segmentation is the task of predicting the class of each pixel in an image. This problem is more difficult than object detection…

Creating beautiful maps with Python

By Medium - 2021-01-31

I always liked city maps and a few weeks ago I decided to build my own artistic versions of it. After googling a little bit I discovered this incredible tutorial written by Frank Ceballos. It is a…