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NEURAL NETWORKS
  • NEURAL NETWORKS
  • Introduction:
  • Definition of Neural Networks:
  • Recent Advances in Neural Networks:
  • The future directions
  • CONCLUSION
  • SOURCES
  • NEURAL NETWORKS
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Первый слайд презентации: NEURAL NETWORKS

ROZYMURADOV VLADLEN 241

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Слайд 2: Introduction:

N eural networks are a type of artificial intelligence that mimic the human brain's ability to learn and make decisions.

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Слайд 3: Definition of Neural Networks:

Neural networks are artificial intelligence systems that simulate the functioning of the human brain. They consist of interconnected neurons that process and transmit information. Neural networks learn from data, recognize patterns, and make predictions or decisions based on input.

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In recent years, neural networks have made significant advancements in various fields. They have shown impressive capabilities in medical diagnosis, fraud detection in finance, and traffic management in transportation.

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Слайд 5: The future directions

The future of neural networks lies in advancements in deep learning, integration with autonomous systems, and synergy with artificial intelligence ( AI)

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Слайд 6: CONCLUSION

Advancements in deep learning, integration with autonomous systems, and the synergy with artificial intelligence are driving the field forward.

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Слайд 7: SOURCES

https://news.mit.edu/2017/explained-neural-networks-deep-learning-0414 https://www.sciencedirect.com/journal/neural-networks https://wiki.pathmind.com/neural-network https://www.sas.com/en_sa/insights/analytics/neural-networks.html

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