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Detecting Cybersecurity Threats using Deep Learning

IntermediateSkill Level
4.7+
108 reviews
Updated 05/2025
Develop a system that can detect Cyber Threats in your company's network traffic logs using Deep Learning.
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PyTorchArtificial Intelligence1 hr1 Task1,500 XP2,890

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Project Description

Detecting Cybersecurity Threats using Deep Learning

Develop a system that can detect Cyber Attacks in network traffic. Utilizing PyTorch, you will train a neural network model and implement real-time anomaly detection. The goal is to improve network security by identifying and mitigating sophisticated cyber-attacks. testing

Detecting Cybersecurity Threats using Deep Learning

Develop a system that can detect Cyber Threats in your company's network traffic logs using Deep Learning.
Start Project
  • 1

    Task 1

Don’t just take our word for it

*4.7
from 108 reviews
78%
20%
2%
0%
0%
  • Federica
    3 days ago

  • Anuj
    last week

    Forced me to explore a lot through other sources out of the course. Really a great learning experience.

  • Hakim
    2 weeks ago

    Nice way to cement using PyTorch to figure out real world situations.

  • Ahmed
    2 weeks ago

  • Tooni
    2 weeks ago

  • Praful
    3 weeks ago

Federica

"Forced me to explore a lot through other sources out of the course. Really a great learning experience."

Anuj

Ahmed

    Join over 18 million learners and start Detecting Cybersecurity Threats using Deep Learning today!

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    or

    By continuing, you accept our Terms of Use, our Privacy Policy and that your data is stored in the USA.