Neural networks

1.

NEURAL
NETWORKS
ROZYMURADOV VLADLEN 241

2.

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

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.

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.

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)

6.

CONCLUSION

7.

SOURCES
1. https://news.mit.edu/2017/explained
-neural-networks-deep-learning-0414
2. https://www.sciencedirect.com/journ
al/neural-networks
3. https://wiki.pathmind.com/neuralnetwork
4. https://www.sas.com/en_sa/insights/
analytics/neural-networks.html