an error back-propagation vs a back-propagation

Both phrases are correct, but they are used in different contexts. "An error back-propagation" implies that the back-propagation process is related to errors, while "a back-propagation" is a more general reference to the process itself. The choice between the two depends on whether you want to emphasize the association with errors or not.

Last updated: March 19, 2024 • 659 views

an error back-propagation

This phrase is correct and commonly used in the context of machine learning and neural networks to refer to the process of back-propagation specifically related to errors.

This phrase is used when referring to the back-propagation process in the context of machine learning or neural networks, specifically when focusing on the propagation of errors through the network.

Examples:

An error back-propagation algorithm is used to adjust the weights of the neural network based on the errors in the output.
During an error back-propagation step, the network learns from its mistakes and adjusts its parameters accordingly.

Show examples from the web [+]

Jun 21, 2002 ... An Error Back-Propagation Artificial Neural Networks Application in Automatic Car License Plate Recognition. Demetrios ...
An Error Back-Propagation. Artificial Neural Networks Application in Automatic Car License Plate Recognition. Demetrios Michalopoulos and Chih-Kang Hu.
(1). The bipolar sigmoidal activation function f is given by u u e e ufy. −. −. +. −. = = 1. 1. )(. (2). An error back propagation based learning rule is used for training.
For that purpose a net with an error back-propagation algorithm was created and exposed to a set of known results, in order to determine the estimation ...

Alternatives:

a back-propagation process
a back-propagation algorithm
a back-propagation step
a back-propagation technique
a back-propagation method

a back-propagation

This phrase is correct and commonly used to refer to the process of back-propagation in a general sense, without specific emphasis on errors.

This phrase is used when discussing the back-propagation process in a broader context, without focusing on errors or specific details.

Examples:

The neural network training involves a back-propagation step to adjust the weights based on the calculated gradients.
Understanding the principles of back-propagation is essential for training deep learning models.

Show examples from the web [+]

A Back Propagation network learns by example. You give the algorithm examples of what you want the network to do and it changes the network's weights so ...
the input of a back-propagation network is fixed size, it is necessary to normalize the size of the characters. This was performed using a linear transformation to.
A BACK-PROPAGATION ALGORITHM. WITH OPTIMAL USE OF HIDDEN UNITS. Yves Chauvin. Thomson-CSF, Inc. (and Psychology Department, Stanford ...
Figure 1.9: A schematic of a back-propagation neural network. The back- propagation neural networks used in this work all have three layers of neurons, ...

Alternatives:

a back-propagation process
a back-propagation algorithm
a back-propagation step
a back-propagation technique
a back-propagation method

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an error back-propagation vs a back-propagation