Hi Gohan,
I understand that you want to know how to use Convolutional Neural Network (CNN) for image classification.
To use a Convolutional Neural Network (CNN) for image classification, you start by preparing a labelled dataset of images, where each image is associated with a corresponding class label. Next, you design a CNN architecture, which typically includes convolutional layers to extract features from the images, pooling layers to reduce dimensionality, and fully connected layers to perform classification based on the extracted features. You then compile the model with a suitable loss function (such as categorical cross entropy for multi-class classification) and an optimizer (like Adam), followed by training the model on your dataset using the fit method. Finally, you evaluate the model's performance on a separate test dataset to gauge its accuracy and effectiveness in classifying unseen images.
Please go through this documentation to get started with image classification using CNN in MATLAB and how to train a CNN network from scratch in MATLAB,
Instead of training the network from scratch if you wanted to perform transfer learning for your application, please go through these examples,
Also please go through the following documentation to learn more regarding how to properly post in MATLAB answer to get quick reply,
Hope this helps.
