The following slides introduce artificial neural networks.

Slide 15.1: Artificial intelligence (AI)
Slide 15.2: Top-20 AI concepts
Slide 15.3: Introduction to artificial intelligence
Slide 15.4: Artificial neural networks (ANNs)
Slide 15.5: The ANN components
Slide 15.6: Activation functions
Slide 15.7: Types of activation functions

Slide 15.8: Backpropagation training (video: 6:51 minutes)
Slide 15.9: What is backpropagation?
Slide 15.10: What is backpropagation? (cont.)
Slide 15.11: How backpropagation works?
Slide 15.12: How backpropagation works? (cont.)
Slide 15.13: How backpropagation works? (cont.)

Slide 15.14: Genann, a minimal ANN
Slide 15.15: Genann, a minimal ANN (cont.)
Slide 15.16: Genann, a minimal ANN (cont.)

  ☂ References

Slide 15.a: Neural networks list
Slide 15.b: Neural network architecture types
Slide 15.c: Neural networks
Slide 15.d: A step by step backpropagation example







      “Risks must be taken because the greatest hazard in life is to risk nothing.”    
      ― Leo F. Buscaglia