Definition of Backpropagation. Meaning of Backpropagation. Synonyms of Backpropagation

- 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),...
- 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...
- 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...
- actual target values in a given dataset. Gradient-based methods such as backpropagation are usually used to estimate the parameters of the network. During...
- is not linearly separable. Modern neural networks are trained using backpropagation and are colloquially referred to as "vanilla" networks. MLPs grew out...
- 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...
- like the standard backpropagation network can generalize to unseen inputs, but they are sensitive to new information. Backpropagation models can be analogized...
- introduced by Kunihiko ****ushima in 1979, though not trained by backpropagation. Backpropagation is an efficient application of the chain rule derived by Gottfried...