AI P3 Flashcards
What are neural networks modeled after?
The human brain
What components do neural networks have?
Input nodes
What happens at an input node in a neural network?
Weights are applied
Why are hidden layers used in a neural network?
To enable deep learning
What is machine learning?
AI where computers learn from data and experience to improve task performance
How does machine learning work?
By identifying patterns in data without being explicitly programmed
What is an example of machine learning?
Detecting spam emails by learning from large datasets
What is deep learning?
A subset of machine learning that simulates brain-like decision-making
What are the benefits of deep learning?
Handles large/unstructured data and finds hidden patterns
What is reinforcement learning?
A learning method where computers make decisions to maximize reward and learn from outcomes
How does reinforcement learning improve over time?
By adjusting based on reward feedback from past actions
What is supervised learning?
Learning from labeled data to identify patterns and make predictions
What is unsupervised learning?
Learning from unlabeled data to find hidden structures or patterns
What is back propagation of errors?
An algorithm that adjusts the neural network by moving backward from the output layer to reduce errors
What is an analogy for back propagation?
Adjusting a ball throw based on how far off it landed from the target
What is regression in machine learning?
Finding a mathematical function that fits past data to predict future values
