Tansig (hyperbolic tangent sigmoid)

Information

• Tansig (hyperbolic tangent sigmoid) is a commonly used activation function in artificial neural networks.
• It is a type of sigmoid function that has an "S"-shaped curve, with a range of -1 to 1.
• The function is defined as f(x) = (2 / (1 + exp(-2x))) - 1.
• The tansig function maps any real-valued input to a corresponding output between -1 and 1.
• It is often used in hidden layers of neural networks, where it helps to standardize and normalize the input data, making it easier to train the network.
• The derivative of the tansig function is f'(x) = 1 - f(x)^2, which can be useful in backpropagation algorithms used to train neural networks.