What are some examples of activation functions in neural networks?
An example of an AI chatbot conversation about activation function examples in neural networks.
What are some examples of activation functions used in neural networks?
Common examples of activation functions include Sigmoid, ReLU (Rectified Linear Unit), and Tanh.
Can you explain how the ReLU function works?
Sure! The ReLU function outputs the input directly if it's positive; otherwise, it outputs zero.
What are the advantages of using the Tanh function?
The Tanh function outputs values between -1 and 1, which helps in centering the data and can lead to faster convergence.
Are there any drawbacks to using the Sigmoid function?
Yes, the Sigmoid function can cause vanishing gradients, making it harder for the model to learn in deep networks.
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