Use a pre-trained neural network for feature extraction and cluster images using K-means. In this tutorial, I'm going to walk you through using a pre-trained neural network to extract a feature vector from images and cluster the images based on how similar the feature vectors are.
In this tutorial, I'm going to walk you through using a pre-trained neural network to extract a feature vector from images and cluster the images based on how similar the feature vectors are.
The pre-trained model that will be used in this tutorial is the VGG16 convolutional neural network (CNN), which is considered to be state of the art for image recognition tasks. We are going to be using this model as a feature extractor only, meaning that we will remove the final (prediction) layer so that we can obtain a feature vector.
This implementation will use the flowers dataset from Kaggle which you can download here. The dataset contains 210 images of 10 different species of flowers that will be downloaded as _png _files.
Google Reveals "What is being Transferred” in Transfer Learning. Recently, researchers from Google proposed the solution of a very fundamental question in the machine learning community.
What is neuron analysis of a machine? Learn machine learning by designing Robotics algorithm. Click here for best machine learning course models with AI
AI, Machine learning, as its title defines, is involved as a process to make the machine operate a task automatically to know more join CETPA
You got intrigued by the machine learning world and wanted to get started as soon as possible, read all the articles, watched all the videos, but still isn’t sure about where to start, welcome to the club.
Machine learning is quite an exciting field to study and rightly so. It is all around us in this modern world. From Facebook’s feed to Google Maps for navigation, machine learning finds its application in almost every aspect of our lives. It is quite frightening and interesting to think of how our lives would have been without the use of machine learning. That is why it becomes quite important to understand what is machine learning, its applications and importance.