(machine learning) An error correction technique used in neural networks.
Used in a Sentence
backpropagation
Definitions, parts of speech, synonyms, and sentence examples for backpropagation.
Editorial note
You should have at least an intuition of what the error function is, and how error backpropagation works.
Examples15
Definitions2
Parts of speech1
Quick take
(machine learning) An error correction technique used in neural networks.
Meaning at a glance
The clearest senses and uses of backpropagation gathered in one view.
(neurology) 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.
Definitions
Core meanings and parts of speech for backpropagation.
noun
(machine learning) An error correction technique used in neural networks.
noun
(neurology) 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.
Example sentences
You should have at least an intuition of what the error function is, and how error backpropagation works.
After your network is trained, you don't want to change it, so you wouldn't run backpropagation in production.
Convolutional Boltzmann machines have been developed, and neural networks trained with Backpropagation can be pre-trained with generative models.
As for making training faster, second-order methods don't generally work as well as backpropagation for large networks.
Regarding backpropagation and training sections of the NN at different times, there are other training algorithms.
There's a bit of confusion here, because backpropagation is only used to train the network.
There are other algorithms as well such as glove[1], document embeddings[2] and backpropagation based methods[3].
I would be very interested to see if this approach outperforms more conventional deep networks trained with backpropagation.
None of these resemble the deep backpropagation done in most ML models.
I also like how the backpropagation section starts out by immediately talking about how it is really just chain rule application.
> backpropagation allows us to efficiently compute (with dynamic programming, basically) exactly the single most damaging noise pattern out of all billions.
> Backpropagation suffers from vanishing gradients on very deep neural nets.
Quote examples
The backwards-moving pattern of "backpropagation" is really just a side-effect of the derivative chain rule application order, but a lot of intro materials treat backprop as if it is some fancy thing specially-designed for neural nets.
Proper noun examples
Backpropagation takes longer the deeper the net - Recurrent Neural Nets are deep in time so Back Propagation can become intractable or unstable.
Backpropagation suffers from vanishing gradients on very deep neural nets.
Frequently asked questions
Short answers drawn from the clearest meanings and examples for this word.
How do you use backpropagation in a sentence?
You should have at least an intuition of what the error function is, and how error backpropagation works.
What does backpropagation mean?
(machine learning) An error correction technique used in neural networks.
What part of speech is backpropagation?
backpropagation is commonly used as noun.