The keras.layers.ELU (Exponential Linear Unit) is a specific activation function layer in the Keras library for Python. It is commonly used in neural networks to introduce non-linearity and enhance the model's learning capability. ELU maps both negative and positive values, unlike the traditional ReLU (Rectified Linear Unit) activation function. ELU has a parameter called alpha, which determines the slope of the negative input values. This activation function helps in reducing the vanishing gradient problem and can lead to better performance and faster convergence in certain neural network architectures.
Python ELU - 30 examples found. These are the top rated real world Python examples of keras.layers.ELU extracted from open source projects. You can rate examples to help us improve the quality of examples.