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Link for the video tutorial : https://youtu.be/5SJAPmQy7xs
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 Link for the full post : https://eranfeit.net/alien-vs-predator-image-classification-with-resnet50-complete-tutorial/
Link for Medium post : https://python.plainenglish.io/alien-vs-predator-image-classification-with-resnet50-complete-tutorial-6708137619bc You
can find more computer vision tutorials in my blog page : https://eranfeit.net/blog/
More relevant content in this playlist : https://www.youtube.com/playlist?list=PLdkryDe59y4aCcCN4ioFpdLVAGZ_dFeFr