Description:

This course will teach you how to build a multi-class image classification model using Convolutional Neural Networks (CNN) in Python. You will learn how to preprocess image data, design a CNN architecture, train the model, and evaluate its performance. By the end of this course, you will have the skills to create a powerful image classification model that can classify images into multiple classes with high accuracy.

Key Highlights:

• Learn to build a CNN for image classification
• Preprocess image data for model training
• Evaluate model performance on multiple classes

What you will learn:

• Design a CNN architecture
  Understand how to create a CNN architecture for multi-class image classification.
• Train and optimize the model
  Learn how to train and optimize the CNN model for better classification performance.
• Evaluate model performance
  Assess the accuracy and effectiveness of the image classification model on multiple classes.