The following slides introduce artificial neural networks.

Slide 10.ⓐ: Neural networks (reference)
Slide 10.ⓑ: A step by step backpropagation example (reference)

Slide 10.1: Artificial intelligence (AI)
Slide 10.2: Artificial neural networks (ANNs)
Slide 10.3: The ANN components
Slide 10.4: Activation functions
Slide 10.5: Types of activation functions
Slide 10.6: Backpropagation training (video: 6:51 minutes)
Slide 10.7: What is backpropagation?
Slide 10.8: What is backpropagation? (cont.)
Slide 10.9: How backpropagation works?
Slide 10.10: How backpropagation works? (cont.)
Slide 10.11: How backpropagation works? (cont.)
Slide 10.12: Genann, a minimal ANN
Slide 10.13: Genann, a minimal ANN (cont.)
Slide 10.14: Genann, a minimal ANN (cont.)



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