Course Description
This chapter will cover practical uses and applications for neural networks. It will cover how neural networks can be used for cybersecurity, automation, anomaly detection, and predictive systems.
What You'll Learn
- Explore various areas where neural networks can be implemented
- Apply neural networks as part of larger systems
- Use neural networks for anomaly and threat detection
- Implement neural networks for cybersecurity
- Apply neural networks to automation tasks
- Build predictive systems using neural networks
Key Takeaways
- Neural networks have practical uses across cybersecurity, automation, anomaly detection, and predictive systems.
- Neural networks can be implemented in a variety of areas rather than a single domain.
- Neural networks can function as a component within larger systems.
- Anomaly and threat detection is one practical application area for neural networks.
Frequently Asked Questions
What does this course cover?
This chapter covers practical uses and applications for neural networks, including how they can be used for cybersecurity, automation, anomaly detection, and predictive systems.
What will I learn in this course?
You will learn about various areas where neural networks can be implemented and how neural networks can be used as part of larger systems.
What topics are included in the lessons?
The lessons cover Anomaly/Threat Detection, Automation, Cybersecurity, and Predictive Systems.
What skills does this course build?
This course builds skills in analytic applications, applications of artificial intelligence, artificial neural networks, deep learning, deep learning methods, and Open Neural Network Exchange (ONNX).
