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Neural network (Ways of working (Automation, Prediction, Suggestion,…
Neural network
Ways of working
Automation
Prediction
Suggestion
Prevention
Notification
Situational Awareness
Perception
Activation / Function
Linear
Piece wise Linear
Sign(Signum)
Logistic
Unit step (Heaviside)
Hyperbolic Managment
application areas
Automotive
Military
Medical
Financial
Industrial
Aerospace
Types
Reinforcement learning
Offline learning
Unsupervised learning
Online learning
Supervised learning
Process/ architecture
Back Propagation
Gradient Descent
Forward Propagation
Stochastic Gradient Descent
Network / Layers
Hidden Layers
Output Layers
Input Layers
Splitting datasets
Validation sets
Testing sets
Training set
advantages
autonomous learning and generalization
Adapt to unknown situations
Robustness