The following slides introduce artificial neural networks.

Slide 14.1: Artificial intelligence (AI)
Slide 14.2: Artificial neural networks (ANNs)
Slide 14.3: The ANN components
Slide 14.4: Activation functions
Slide 14.5: Types of activation functions

Slide 14.6: Backpropagation training (video: 6:51 minutes)
Slide 14.7: What is backpropagation?
Slide 14.8: What is backpropagation? (cont.)
Slide 14.9: How backpropagation works?
Slide 14.10: How backpropagation works? (cont.)
Slide 14.11: How backpropagation works? (cont.)

Slide 14.12: Genann, a minimal ANN
Slide 14.13: Genann, a minimal ANN (cont.)
Slide 14.14: Genann, a minimal ANN (cont.)

  ☂ References

Slide 14.a: Neural networks list
Slide 14.b: Top-20 AI concepts
Slide 14.c: Neural networks
Slide 14.d: A step by step backpropagation example







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