Definition of Backpropagation. Meaning of Backpropagation. Synonyms of Backpropagation

Here you will find one or more explanations in English for the word Backpropagation. Also in the bottom left of the page several parts of wikipedia pages related to the word Backpropagation and, of course, Backpropagation synonyms and on the right images related to the word Backpropagation.

Definition of Backpropagation

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Meaning of Backpropagation from wikipedia

- In machine learning, backpropagation is a gradient estimation method commonly used for training a neural network to compute its parameter updates. It...
- Neural backpropagation is the phenomenon in which, after the action potential of a neuron creates a voltage spike down the axon (normal propagation),...
- co-author of a highly cited paper published in 1986 that po****rised the backpropagation algorithm for training multi-layer neural networks, although they were...
- feedforward multiplication remains the core, essential for backpropagation or backpropagation through time. Thus neural networks cannot contain feedback...
- Backpropagation through time (BPTT) is a gradient-based technique for training certain types of recurrent neural networks, such as Elman networks. The...
- actual target values in a given dataset. Gradient-based methods such as backpropagation are usually used to estimate the parameters of the network. During...
- like the standard backpropagation network can generalize to unseen inputs, but they are sensitive to new information. Backpropagation models can be analogized...
- is not linearly separable. Modern neural networks are trained using backpropagation and are colloquially referred to as "vanilla" networks. MLPs grew out...
- "AI winter". Later, advances in hardware and the development of the backpropagation algorithm, as well as recurrent neural networks and convolutional neural...
- mathematician and computer scientist known for creating the modern version of backpropagation. He was born in Pori. He received his MSc in 1970 and introduced a...