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What is the main function of an activation function in a neural network?
What is the main function of an activation function in a neural network?
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Practice Questions
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Q1
What is the main function of an activation function in a neural network?
To initialize weights
To introduce non-linearity into the model
To optimize the learning rate
To reduce the number of layers
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Activation functions introduce non-linearity into neural networks, allowing them to learn complex patterns.
Questions & Step-by-step Solutions
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Q
Q: What is the main function of an activation function in a neural network?
Solution:
Activation functions introduce non-linearity into neural networks, allowing them to learn complex patterns.
Steps: 7
Show Steps
Step 1: Understand that a neural network is a system that tries to learn from data.
Step 2: Know that neural networks use mathematical functions to process information.
Step 3: Realize that many mathematical functions are linear, meaning they create straight lines.
Step 4: Learn that real-world data is often complex and not just straight lines.
Step 5: Understand that an activation function is a special type of function used in neural networks.
Step 6: Know that the main job of an activation function is to add non-linearity to the network.
Step 7: Recognize that by adding non-linearity, the network can learn and recognize complex patterns in the data.
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