What is the role of the activation function in a neural network?
- It controls the number of epochs in training.
- It defines the learning rate during training.
- It initializes the weights of the network.
- It introduces non-linearity into the network, allowing it to learn complex patterns.
The activation function introduces non-linearity into the neural network, which enables it to learn complex relationships in data. It doesn't initialize weights, set the learning rate, or control the number of epochs.
Loading...
Related Quiz
- What is the basic function of chatbots in customer service?
- As a data scientist in a retail company, you are tasked to implement an AI model to predict customer purchase behavior. How would you approach the development and implementation of this model to ensure accuracy and reliability in predictions?
- Which of the following is a type of machine learning?
- Developing AI systems that can effectively handle _______ learning is crucial for adapting to dynamic environments with non-stationary data distributions.
- You are tasked to develop a predictive maintenance system for industrial machinery using AI. How would you approach the problem to ensure minimal downtime and maintain high predictive accuracy?