Hi,

Would you like to learn how to use the pre-trained model with Gradcam visualization to identify the most important areas in an image ?

In this tutorial, we dive deep into the world of advanced computer vision, exploring deep learning techniques to improve the accuracy of your image recognition systems.
Using the VGG16 model and the Gradcam library, we show you how to identify the specific areas of an image that contribute most to the recognition of your desired object or class.

If you are interested in learning modern Computer Vision course with deep dive with TensorFlow , Keras and Pytorch , you can find it here : http://bit.ly/3HeDy1V
Perfect course for every computer vision enthusiastic

Before we continue , I actually recommend this book for deep learning based on Tensorflow and Keras : https://amzn.to/3STWZ2N

Check out our tutorial here : https://youtu.be/DKvJcK4o3Vw

I also shared the Python instructions to my Github repo in the video description.

Enjoy
Eran

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