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Understanding Neural Networks and EML by Manendra Singh Kushwaha is a document available to read on EtoBox.
What is Understanding Neural Networks and EML about?
1. Neural networks are composed of artificial neurons that mimic biological neurons. They can be used to understand biological neural networks or solve artificial intelligence problems. 2. Artificial neural networks learn by example, are adaptive, self-organizing, can operate in real-time, and are fault tolerant. They process information similarly to the human brain with large numbers of interconnected processing elements. 3. An Emotion Markup Language (EML) defines a format for representing emotional stat
- Author
- Manendra Singh Kushwaha
- Language
- EN