Image Classification Using ResNet50 Model | ResNet50 transfer learning

Learn how to harness the power of ResNet50 for image classification tasks with our comprehensive tutorial. Dive into the world of transfer learning with ResNet50, a pre-trained model renowned for its efficiency and accuracy. Follow along as we explore the implementation of ResNet50 in Keras and TensorFlow, unraveling the intricacies of this state-of-the-art architecture.

This tutorial has 3 parts :

🔍 Data Preparation: We'll start by preparing and loading the train test and validation images.

🛠️ Model Building with TensorFlow Keras: Next, we'll dive into the implementation of Resnet50 architecture using TensorFlow's Keras API. You'll learn how to configure and fine-tune the pre-trained model for your specific task.

📊 Testing the Model: Once the model is trained, we'll show you how to test the model using a new and fresh image

You can download the code here : https://ko-fi.com/s/a2d921fd66

More relevant content in this playlist : https://www.youtube.com/playlist?list=PLdkryDe59y4aCcCN4ioFpdLVAGZ_dFeFr

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, https://amzn.to/44GnlLW : "Make Your Own Neural Network - An In-depth Visual Introduction For Beginners ".
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00:00 Introduction 
00:20 Prepare the data , Build the Model - Transfer learning 
14:15 Test The Model 
~~~~~~~~~~~~~~ Credits ~~~~~~~~~~~~~ 
Music by Vincent Rubinetti 
Download the music on Bandcamp: https://vincerubinetti.bandcamp.com/album/the-music-of-3blue1brown 
Stream the music on Spotify: https://open.spotify.com/album/1dVyjwS8FBqXhRunaG5W5u
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https://www.youtube.com/watch?v=5SJAPmQy7xs