What are the key components of a neural network?
The question is about Neural Networks
Answer:
Key components include:
1. Input Layer: Receives the data for processing.
2. Hidden Layers: Perform computations and extract features from data.
3. Output Layer: Produces the final result.
4. Weights and Biases: Parameters adjusted during training to minimize error.
5. Activation Functions: Introduce non-linearity, enabling the network to model complex patterns.
6. Loss Function: Measures prediction errors during training.
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