What is the role of activation functions in a neural network model?
Tuesday, 08 August 2023
by EITCA Academy
Activation functions play a crucial role in neural network models by introducing non-linearity to the network, enabling it to learn and model complex relationships in the data. In this answer, we will explore the significance of activation functions in deep learning models, their properties, and provide examples to illustrate their impact on the network's performance.
- Published in Artificial Intelligence, EITC/AI/DLTF Deep Learning with TensorFlow, TensorFlow, Neural network model, Examination review
Tagged under:
Activation Functions, Artificial Intelligence, Leaky ReLU, Non-linearity, Normalization, ReLU, Sigmoid, Softmax, Tanh