Deep Learning
Deep learning is an AI technology that enables precise predictions through iterative learning and is used in various everyday applications.
Deep Learning
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From the Avengers movie series and Her to news and dramas, we encounter deep learning through various media.
Deep learning is one of the artificial intelligence technologies, utilized in various fields such as AI speakers and greatly helping our daily lives.
In this article, we'll explore the concept and application cases of deep learning.
🧠 What is Deep Learning?
Deep learning is a technology that repeatedly learns by configuring artificial neural networks in multiple layers. It mimics the process of neurons in the human brain exchanging information and learning, showing particularly excellent performance in image classification problems such as distinguishing cats from dogs.
Deep learning is an advanced learning method among AI technologies, utilized in various application fields requiring accuracy and precision.
Source: Let's Play with Software
🤖 AI Learning Process through Deep Learning
Deep learning allows artificial intelligence to learn on its own through repetitive learning processes.
- Although there may be many mistakes initially, accuracy improves gradually through repeated learning
- Distinguishing cats from dogs
- Diagnosing diseases
- Applied to AI assistants, AI speakers, etc.
- Performing useful functions in real life
Ultimately, deep learning is the core of sophisticated artificial intelligence implementation, enabling the ability to judge and predict autonomously based on large amounts of data.
Source: Let's Play with Software
Conclusion
In this AKEO EDU article, we covered deep learning.
Deep learning is a powerful learning technology based on artificial neural networks, a core technology of artificial intelligence that derives more precise and accurate results through repeated learning.
Deep learning technology plays an important role in our daily lives, including AI speakers, disease diagnosis, and image recognition, and will continue to be the central axis driving the development of AI technology in the future.
We look forward to the future of deep learning that will make our lives more convenient and efficient.