Artificial Neural Network
Artificial Neural Networks (ANNs) are computational models inspired by the human brain's structure and functioning. They consist of interconnected layers of nodes (neurons) that process information. ANNs are at the core of deep learning, enabling applications like speech recognition, fraud detection, and image classification. They learn by adjusting weights during training to minimize errors. Ongoing research focuses on improving their scalability and interpretability.
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Artificial Neural Network Conference Speakers
Recommended Sessions
- AI in Cybersecurity
- Applications of Machine Learning
- Artificial Intelligence
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- Cloud Computing
- Computer Vision
- Deep Learning
- Ethical AI Development
- Future Scope of AI
- Generative Adversarial Networks
- Internet of Things
- Machine Learning
- Multiagent Systems
- Natural Language Processing
- Neural Network Optimization
- Predictive Analytics
- Reinforcement Learning Applications
- Robotics and Automation
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