hidden nodes and output vs hidden nodes and output values

Both phrases are correct, but they are used in different contexts. 'Hidden nodes and output' is used when referring to the general concept of hidden nodes and output in a neural network, while 'hidden nodes and output values' is used when specifically discussing the values associated with these elements.

Last updated: March 17, 2024

hidden nodes and output

This phrase is correct and commonly used when discussing neural networks.

This phrase is used when referring to the general concept of hidden nodes and output in a neural network without specifying the values.

Examples:

The neural network architecture consists of input nodes, hidden nodes, and output.

Show examples from the web [+]

There are three types of neurons in an ANN, input nodes, hidden nodes, and output nodes. The input nodes take in information, in the form which can be ...
There are three types of neutrons in an ANN, input nodes, hidden nodes, and output nodes. The input nodes take in information, in the form which can be ...
Sep 1, 2015 ... ... for bias float Why[NUM_HIDDEN+1][NUM_OUTPUTS]; //weights between hidden nodes and output y, including an extra one for bias int t, i, h, ...
Sep 1, 2015 ... ... one for bias float Why[NUM_HIDDEN+1][NUM_OUTPUTS]; //weights between hidden nodes and output y, including an extra one for bias.

Alternatives:

hidden layers and output
hidden units and output
hidden neurons and output

hidden nodes and output values

This phrase is correct and used when discussing the specific values associated with hidden nodes and output.

This phrase is used when referring to the values associated with hidden nodes and output in a neural network.

Examples:

The hidden nodes and output values were calculated using a specific algorithm.

Alternatives:

hidden nodes and output parameters
hidden nodes and output results
hidden nodes and output data

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hidden nodes and output vs hidden nodes and output values