How do you use Backpropagation in a sentence? See 6 example sentences showing how this word appears in different contexts, plus the exact meaning.
Backpropagation in a sentence
Backpropagation meaning
- An error correction technique used in neural networks.
- A phenomenon in which the action potential of a neuron creates a voltage spike both at the end of the axon, as normally, and also back through to the dendrites from which much of the original input current originated.
Using Backpropagation
- The main meaning on this page is: An error correction technique used in neural networks. | A phenomenon in which the action potential of a neuron creates a voltage spike both at the end of the axon, as normally, and also back through to the dendrites from which much of the original input current originated.
Context around Backpropagation
- Average sentence length in these examples: 24.2 words
- Position in the sentence: 4 start, 1 middle, 1 end
- Sentence types: 6 statements, 0 questions, 0 exclamations
Corpus analysis for Backpropagation
- In this selection, "backpropagation" usually appears near the start of the sentence. The average example has 24.2 words, and this corpus slice is mostly made up of statements.
- Around the word, understand, algorithm, cycle and algorithms stand out and add context to how "backpropagation" is used.
- Recognizable usage signals include backpropagation algorithms allow and backpropagation and resurgence. That gives this page its own corpus information beyond isolated example sentences.
- By corpus frequency, "backpropagation" sits close to words such as aaaaa, aage and aardvarks, which helps place it inside the broader word index.
Example types with backpropagation
The same corpus examples are grouped by length and sentence type, making it easier to see the contexts in which the word appears:
Backpropagation algorithms allow a neural network to learn from its mistakes. (11 words)
Generalization of backpropagation with application to a recurrent gas market model. (11 words)
To understand backpropagation, you must first understand how a neural network works. (12 words)
They are stacks of information-transforming modules that “learn” by repeatedly computing a chain of what are known as gradients (something rarely taught in high school calculus), which are the backbone of a family of algorithms known as backpropagation. (39 words)
Unlike traditional artificial neural networks, spiking neural networks don’t require neurons to fire in each backpropagation cycle of the algorithm, but, rather, only when what’s known as a neuron’s “membrane potential” crosses a specific threshold. (38 words)
Backpropagation and resurgence A key advance that came later was the backpropagation algorithm which effectively solved the exclusive-or problem, and more generally the problem of quickly training multi-layer neural networks (Werbos 1975). (34 words)
Example sentences (6)
Backpropagation and resurgence A key advance that came later was the backpropagation algorithm which effectively solved the exclusive-or problem, and more generally the problem of quickly training multi-layer neural networks (Werbos 1975).
To understand backpropagation, you must first understand how a neural network works.
They are stacks of information-transforming modules that “learn” by repeatedly computing a chain of what are known as gradients (something rarely taught in high school calculus), which are the backbone of a family of algorithms known as backpropagation.
Unlike traditional artificial neural networks, spiking neural networks don’t require neurons to fire in each backpropagation cycle of the algorithm, but, rather, only when what’s known as a neuron’s “membrane potential” crosses a specific threshold.
Backpropagation algorithms allow a neural network to learn from its mistakes.
Generalization of backpropagation with application to a recurrent gas market model.