Which activation function do you use often in neural networks? 👇 Here's the list 📚 𝗦𝗶𝗴𝗺𝗼𝗶𝗱 - The sigmoid function squashes its input into the range [0, 1]. It's historically popular but can cause vanishing gradient problems in deep networks. 𝗧𝗮𝗻𝗵 - Similar to the sigmoid but scales the output to be in the range [-1, 1]. It's zero-centered, which can help mitigate the vanishing gradient problem to some extent. 𝗥𝗲𝗟𝗨 (Rectified Linear Unit) - Activates a node if the input is above a certain quantity. It's computationally efficient and helps with the vanishing gradient problem but can cause dead neurons. 𝗟𝗲𝗮𝗸𝘆 𝗥𝗲𝗟𝘂 - A variant of ReLU that has a small slope for negative values, preventing neurons from "dying". 𝗣𝗥𝗲𝗟𝗨 (Parametric ReLU) - Similar to Leaky ReLU but the slope for negative values is learned during training rather than being predefined. 𝗘𝗟𝗨 (Exponential Linear Unit) - Tries to make the mean activations closer to zero. Negative inputs are transformed into values between -α and 0, slowing down the learning but producing a more robust model. 𝗦𝗘𝗟𝗨 (Scaled Exponential Linear Unit) - Like ELU, but with scaling, making it self-normalizing. It has specific conditions under which it can maintain mean 0 and variance 1. 𝗦𝗼𝗳𝘁𝗽𝗹𝘂𝘀 - A smooth approximation to the ReLU function, and it's always positive. 𝗦𝗼𝗳𝘁𝘀𝗶𝗴𝗻 - Divides the input by 1 plus the absolute value of the input. It's similar to tanh but is not widely used. 𝗛𝗮𝗿𝗱 𝗦𝗶𝗴𝗺𝗼𝗶𝗱 - A piecewise linear approximation of the sigmoid function, computationally more efficient than the regular sigmoid. 𝗦𝘄𝗶𝘀𝗵 - A self-gated activation function discovered by researchers at Google. It's computationally efficient and has been found to work better than ReLU in some cases. 𝗠𝗶𝘀𝗵 - A newer activation function that uses a combination of softplus and tanh functions. It has been shown to outperform many traditional activation functions in deep networks. 👉 Which activation function do you use often when training a neural network? Drop a comment👇 Ace upcoming interviews with these👇 📕 𝗜𝗻𝘁𝗲𝗿𝘃𝗶𝗲𝘄 𝗣𝗿𝗲𝗽 𝗖𝗼𝘂𝗿𝘀𝗲𝘀: datainterview.com/courses 📘 𝗝𝗼𝗶𝗻 𝗗𝗦 𝗜𝗻𝘁𝗲𝗿𝘃𝗶𝗲𝘄 𝗕𝗼𝗼𝘁𝗰𝗮𝗺𝗽: https://lnkd.in/egCcmuCr Want more tips like this? ♻️ Repost and 👉 Follow Daniel Lee for daily tips on data & AI! | 37 comments on LinkedIn