Classify images using the AlexNet network | MATLAB

AlexNet is a pretrained Convolutional Neural Network (CNN) that has been trained on approximately 1.2 million images from the ImageNet Dataset . The model has 23 layers and can classify images into 1000 object categories (e.g. keyboard, mouse, coffee mug, pencil).

Alexnet Documentation:https://www.mathworks.com/help/deeple...

Prerequisite:
Install Deep Learning Toolbox before moving on to the coding part.

Simple steps:
Step 1:
Read the image using imread
Step 2:
Import AlexNet network trained on the ImageNet data set
Step 3:
The network has an image input size of 227-by-227 , so we need to resize our imput image to 227-by-227 matrix.
Step 4:
You can use classify to classify new images using the AlexNet network.
Step 5:
Show the result using imshow and title.

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