backpropagation

Meanings

• noun

  A method used in artificial neural networks to calculate the gradient of the loss function with respect to the weights, which is then used to update the weights during the training process.

  - "Backpropagation is an essential algorithm for training deep neural networks."
  - "The error is propagated backwards through the network during the backpropagation process."

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Variants

List of all variants of backpropagation that leads to same result
back-formation , back-formations

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Etymology

origin and the way in which meanings have changed throughout history.

Backpropagation is a term derived from the combination of two words: 'back' and 'propagation'. 'Back' refers to moving or working backwards, while 'propagation' refers to the spreading of information.

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Trivia

Any details, considerations, events or pieces of information regarding the word

1. Backpropagation was first introduced in a 1986 paper by Paul Werbos.

2. Backpropagation is an iterative process that continues until the error between the predicted and actual output is minimized.

3. Backpropagation can be used for both supervised and unsupervised learning.

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Related Concepts

informations on related concepts or terms closely associated with the word. Discuss semantic fields or domains that the word belongs to

1. Neural Networks: Backpropagation is a method used for training neural networks.

2. Gradient Descent: Backpropagation is a variant of the gradient descent algorithm.

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Culture

Any cultural, historical, or symbolic significance of the word. Explore how the word has been used in literature, art, music, or other forms of expression.

Backpropagation is a fundamental concept in the field of machine learning and artificial intelligence. It has been extensively used in research and development of various advanced technologies such as speech recognition, image recognition, and natural language processing.

How to Memorize "backpropagation"

1. visualize
   

   - Visualize the forward propagation of the input through the network and the backward propagation of the error.
   - Draw a simple neural network and label the nodes and connections, then visualize the backpropagation process.

2. associate
   

   - Associate the term 'backpropagation' with the concept of 'error correction' and 'weight updating'.
   - Think of backpropagation as a way of 'learning' from errors.

3. mnemonics
   

   - Remember BP as 'Backward Propagation' or 'Error Propagation'.

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