Summary and Quiz

Congratulations! You’ve learned the fundamentals of artificial intelligence and machine learning. Let's quickly review what we have learned in this chapter and take a short quiz to validate it.

Summary

Let’s quickly summarize the chapter on the fundamentals of artificial intelligence and machine learning:

• Neural networks: Neural networks consist of multiple layers of interconnected neurons that process input data through mathematical operations. Important components of a neural network include:

  • Weights: Weights are values assigned to the connections between the neurons.

  • Bias: Bias is the value added to the data at a neuron.

  • Activation functions: Activation functions determine whether a neuron should activate based on its inputs, enabling the model to capture complex, non-linear patterns.

• Artificial intelligence is a discipline that aims to create systems capable of performing tasks that usually require human intelligence, such as reasoning, decision-making, and language comprehension. Artificial intelligence has multiple domains:

  • Machine learning (ML) is a domain of AI that teaches machines to learn from past experiences and data.

  • Deep learning (DL) is a specialized domain of machine learning that trains neural networks with multiple layers to model complex patterns in data.

  • Generative AI is a specialized area of ML and DL that focuses on creating new content, such as images, text, and music, by learning patterns from existing data.

  • Computer vision is a field within AI focused on enabling machines to interpret and understand ...