TensorFlow Image Classification Tutorial: ResNet50 vs. MobileNet

Welcome to our YouTube tutorial on Image Classification using Python, TensorFlow, and Keras with Convolutional Neural Networks (CNNs).

🎥 What's Covered in the Video:

• Building the classification pipeline with TensorFlow and Keras for seamless implementation. Leveraging the Keras application library to load powerful pre-trained models like ResNet50 and MobileNet.

• Preparing your own fresh images for classification, ensuring they fit the model's requirements and converting them into batches using the Numpy expand_dims function.

• Running predictions on the pre-trained models for your input images to see them in action.

👍 Don't forget to like this video if you find it helpful and subscribe to our channel to stay updated with the latest tutorials on AI, Machine Learning, and Computer Vision.

Code for this video: https://github.com/feitgemel/Object-Detection/tree/main/TensorFlowKeras-PreTrainedModels

More relevant content in this playlist : https://www.youtube.com/playlist?list=PLdkryDe59y4bxVvpexwR6PMTHH6_vFXjA

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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