Review:
Artificial Neural Networks
overall review score: 4.5
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score is between 0 and 5
Artificial neural networks are computational models inspired by the structure and function of the human brain. They are used in machine learning and artificial intelligence to process complex data and make predictions.
Key Features
- Neurons
- Layers
- Weights
- Activations
- Backpropagation
Pros
- Powerful tool for pattern recognition and prediction
- Mimics the functioning of the human brain
- Can learn complex relationships in data
Cons
- Require large amounts of data for training
- Can be computationally intensive
- Black box nature makes it hard to interpret decision making