Nodes in a Hidden Layer

The Number of Nodes in a Neural Network Hidden Layer calculator computes the number of nodes in a neural network hidden layer based on the number of input nodes and output nodes.

INSTRUCTIONS: Enter the following:

• (iN) This is the number of input nodes
• (oN) This is the number of output nodes

Hidden Layer Nodes (N): The calculator returns the number of nodes in the hidden layer.

Artificial Intelligence and Machine Learning Calculators

• Sigmoid Function
• Number of Nodes in a Hidden Layer of a Neural Network
• tanh (hyperbolic tangent)
• ReLU
• Signum
• Matthews Correlation Coefficient

The Math / Science

Neural networks are a significant part of artificial intelligence.  Neural networks rely on vectors of nodes that represent layers in artificial neural networks.  There are several methods to choose the number of nodes in layer of a neural network.  This formula is one of the most popular.  The formula for the number of nodes in a hidden layer is:

N = round (2/3 iN + oN)

where:

• N is the number of nodes in the hidden layer
• iN is the number of input nodes
• oN is the number of output nodes