Class Maximization Tutorial | How to Extract the Ideal Image for Each Class

This tutorial demonstrate how to deep dive the VGG16 model , and basically ask the model to show its ideal image for a specific class. So , What deep neural network see ? We will visual the network using Class maximization method

The VGG16 model , which is based and pre-trained on then 1000 classes imagenet , can produce its best image for a specific class

In this video, I will show you how to use class maximization to visualize what a deep neural network has learned. Class maximization is a powerful technique that can be used to extract the ideal image for each of the trained classes, which can give us insights into how the network is making its predictions.

I will be using the VGG16 model as an example, but the same principles can be applied to any deep neural network.

In this video, you will learn:

What class maximization is and how it works The steps involved in class maximization How to use class maximization to visualize deep neural networks I hope you enjoy this video!

Code for this video : https://github.com/feitgemel/TensorFlowProjects/blob/master/CNN-Visualization/Cnn-Visual-Class-Maximisation.py

More relevant content in this playlist : https://youtube.com/playlist?list=PLdkryDe59y4Ze9_12JhWu3cs-lOGYwYeD

This is a link for more cool Python libraries and projects : https://youtube.com/playlist?list=PLdkryDe59y4YOtOt2jqSjxGFe9BNh4wug

A perfect course for learning modern Computer Vision with deep dive in TensorFlow , Keras and Pytorch . You can find it here : http://bit.ly/3HeDy1V 
I also recommend this book for deep dive in deep learning : https://amzn.to/3TTZym7
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