Exercise: Exploring Activation Functions in LSTM Models
Explore various activation functions such as selu, elu, tanh, and relu in LSTM models to understand their impact on modeling rare events. This exercise guides you through data loading, preprocessing, model creation, and evaluation to refine prediction accuracy in sequential data.
In this exercise, we’ll explore diverse activation functions for the LSTM model. While our initial training involved the relu activation function, we’ll now experiment with the selu, elu, and tanh activations.
Loading the data
To begin with, let’s initiate this exciting task by importing the necessary libraries and then loading our dataset. This dataset that we’re going ...