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• 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