Wrap Up
Explore the fundamental concepts and skills covered in this course on using PyTorch for image classification and object detection. Understand the differences between classification and detection, learn essential Python libraries and neural network techniques, and discover how to deploy models on edge devices. Gain a comprehensive toolkit to apply computer vision methods to real-world projects and continue advancing your expertise in the field.
We'll cover the following...
Congratulations on completing the course! Let’s summarize the key concepts and skills we’ve covered, ensuring we can apply our newfound knowledge to real-world computer vision projects.
In this course, we explored the main logic behind standard classification and object detection models, learning how to apply these techniques to custom-public datasets. We understood that training good models in a supercomputer is only half the battle; deploying them on edge devices is ...