Uncovering the Power and Limitations of the TanH Activation Function in Neural Networks

The TanH activation function is a commonly used activation function in neural networks. Similar to the Sigmoid function, the TanH function is particularly useful for binary classification tasks. In this post, we'll be exploring the power and limitations of using the TanH activation function in neural networks. We'll look at its unique properties, advantages, and disadvantages, and discuss some use cases where the TanH function is particularly effective. One of the main advantages of using the TanH function is that it's a zero-centered function.