Project ResNet 50

The video tutorial explains how to use pre-trained models in Keras, focusing on the Resnet 50 model. It covers loading the model, preparing and preprocessing images, and making predictions. The tutorial encourages viewers to try using Resnet 50 with their own images to see its performance.

What is Resnet 50 and when was it developed?

Describe the process of loading an image for the Resnet 50 model.

What preprocessing steps are necessary before making predictions with Resnet 50?

How does Resnet 50 determine the predictions for an image?

What was the top prediction made by Resnet 50 in the video, and what was its confidence level?