The Basics
Whether computers can think of?
Imperative and declarative approach to solving problems
Purpose Bedan on artificial intelligence
The definition of artificial intelligence. Turing test. Other determinants
The development of the concept of intelligent systems
Most important achievements and directions of development
Neural Networks
The Basics
Concept of neurons and neural networks
A simplified model of the brain
Opportunities neuron
XOR problem and the nature of the distribution of values
The polymorphic nature of the sigmoidal
Other functions activated
Construction of neural networks
Concept of neurons connect
Neural network as nodes
Building a network
Neurons
Layers
Scales
Input and output data
Range 0 to 1
Normalization
Learning Neural Networks
Backward Propagation
Steps propagation
Network training algorithms
range of application
Estimation
Problems with the possibility of approximation by
Examples
XOR problem
Lotto?
Equities
OCR and image pattern recognition
Other applications
Implementing a neural network modeling job predicting stock prices of listed
Problems for today
Combinatorial explosion and gaming issues
Turing test again
Over-confidence in the capabilities of computers
合作伙伴與授權機構
總部李老師
