Слайд 2: Introduction:
N eural networks are a type of artificial intelligence that mimic the human brain's ability to learn and make decisions.
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.
Слайд 4: Recent Advances in Neural Networks:
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.
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)
Слайд 6: CONCLUSION
Advancements in deep learning, integration with autonomous systems, and the synergy with artificial intelligence are driving the field forward.
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