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hidden nodes and output node vs hidden nodes and output

Both phrases are correct, but they are used in different contexts. 'Hidden nodes and output node' is used when referring to a specific node in a neural network, while 'hidden nodes and output' is used when discussing these elements in a more general sense.

Last updated: March 17, 2024 • 407 views

hidden nodes and output node

This phrase is correct and commonly used when referring to specific nodes in a neural network.

This phrase is used when discussing the architecture of a neural network and specifically mentioning the nodes that are hidden and the one that is the output.

Examples:

In a neural network, the hidden nodes and output node play a crucial role in processing information.

Show examples from the web [+]

connections between hidden nodes and output node as- signs some weight to all the linear threshold functions represented by a hidden node and weight 0 to all ...
α(I), α(H) and α(O), the sub-groups contain the hyper parameters associated with the input nodes, hidden nodes and output node respectively. Our prior then ...
connections between hidden nodes and output node as- signs some weight to all the linear threshold functions represented by a hidden node and weight 0 to all ...
Dec 15, 1992 ... The invariant mass of -rrr -1~ system of selected rho candidates. tween hidden nodes and output node. Since all nodes in the hidden layer ...

Alternatives:

hidden nodes and output

hidden nodes and output

This phrase is correct and commonly used when discussing hidden nodes and output in a more general context.

This phrase is used when talking about the concept of hidden nodes and the output in a neural network without specifying a particular node as 'output node'.

Examples:

Understanding the relationship between hidden nodes and output is essential in neural network design.

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 nodes and output node

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