- Lab
-
Libraries: If you want this lab, consider one of these libraries.
- AI
Applying AI to Image Data
In this hands-on lab, "Applying ML to Image Data," you’ll learn how to preprocess and analyze images for machine learning. Begin by understanding how images are represented as numerical matrices and master essential techniques like resizing and normalization. Build and train convolutional neural networks (CNNs), starting with a simple model and progressing to advanced architectures. Through guided exercises, you’ll visualize how models learn and evaluate performance with metrics like accuracy and loss. By the end, you’ll have the skills to tackle image classification tasks and the confidence to explore advanced computer vision topics. Start your journey today! 🚀
Lab Info
Real skill practice before real-world application
Hands-on Labs are real environments created by industry experts to help you learn. These environments help you gain knowledge and experience, practice without compromising your system, test without risk, destroy without fear, and let you learn from your mistakes. Hands-on Labs: practice your skills before delivering in the real world.
Learn by doing
Engage hands-on with the tools and technologies you’re learning. You pick the skill, we provide the credentials and environment.
Follow your guide
All labs have detailed instructions and objectives, guiding you through the learning process and ensuring you understand every step.
Turn time into mastery
On average, you retain 75% more of your learning if you take time to practice. Hands-on labs set you up for success to make those skills stick.