How do I choose the right activation function for my neural network?
An example of an AI chatbot conversation about choosing activation functions for neural networks.
How do I choose the right activation function for my neural network?
Choosing the right activation function depends on your specific problem. Are you working on a classification or regression task?
I'm working on a classification task.
For classification tasks, ReLU is popular for hidden layers, while softmax is often used for the output layer. Do you need help with specific types?
What about using sigmoid?
Sigmoid can be useful for binary classification, but it may cause vanishing gradient issues in deeper networks. It's good to consider alternatives like ReLU.
Thanks! Are there any other factors to consider?
Yes, consider the depth of your network, the type of data, and the computational efficiency of the activation function.
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