TensorFlow Image Classification Tutorial: ResNet50 vs. MobileNet

This is an image Classification tutorial using Python, TensorFlow, and Keras with Convolutional Neural Networks (CNNs). 

In this video, we'll learn how to use pre-trained models to classify images based on Resnet50 and Mobilenet.

1. Introduction to image classification and CNNs.
2. Using TensorFlow and Keras for building the classification process.
3. Loading pre-trained models from the Keras application library (such as ResNet50 and MobileNet).
4. Explaining how to prepare a fresh image for classification, including resizing it to the model's shape and converting it to a batch of images using the Numpy expand_dims function.
5. Running the prediction process on the pre-trained models (ResNet50 and MobileNet) for the given image.
6. Comparing and analyzing the quality of predictions between the two models.

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The link for the video : 

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 t...

https://youtu.be/40_NC2Ahs_8

I also shared the Python code in the video description .

Enjoy

Eran

#Python #TensorFlow #Deeplearning #convolutionalneuralnetwork #mobilenet #Resnet50