How does the hidden units argument in deep neural networks allow for customization of the network's size and shape?
Wednesday, 02 August 2023
by EITCA Academy
The hidden units argument in deep neural networks plays a crucial role in allowing for customization of the network's size and shape. Deep neural networks are composed of multiple layers, each consisting of a set of hidden units. These hidden units are responsible for capturing and representing the complex relationships between the input and output
- Published in Artificial Intelligence, EITC/AI/GCML Google Cloud Machine Learning, First steps in Machine Learning, Deep neural networks and estimators, Examination review
Tagged under:
Activation Functions, Artificial Intelligence, Customization, Deep Learning, Hidden Units, Neural Networks