Efficientnetv2s For Olympic Images Classification Using Transfer Learning

EfficientNetV2s, the latest iteration of the EfficientNet architecture, offer significant advancements in image classification tasks through efficient transfer learning. Leveraging TensorFlow and Keras, developers can seamlessly integrate EfficientNetV2 into their projects for enhanced performance and streamlined model deployment.

Welcome to our tutorial on transfer learning using EfficientNetV2 with TensorFlow! We will classify Olympics sports images In this video, we'll guide you through the entire process of preparing your data, building the model, and testing its performance.

🔍 Data Preparation: We'll start by preparing thetrain and test images folders.

🛠️ Model Building with TensorFlow Keras: Next, we'll dive into the implementation of EfficientNetV2 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/a24e1b1bd1

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 - Prepare the Data
08:21 Build the Model - Transfer learning 
23:32 Test The Model 
~~~~~~~~~~~~~~ Credits ~~~~~~~~~~~~~ 
Music by Vincent Rubinetti 
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