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back: कमर पीछे का | |
propagation: प्रचार प्रजनन | |
back propagation मीनिंग इन हिंदी
back propagation उदाहरण वाक्य
उदाहरण वाक्य
अधिक: आगे- One of the well known machine learning technique is Back Propagation Algorithm.
- It is known that changes in dendritic excitability affect action potential back propagation.
- Back propagation is a method of signaling to the synapses that an action potential was fired.
- It is guaranteed to find the correct weights, unlike regular back propagation networks that can become trapped in local minimums during training.
- Usually, when mistakes are encountered i . e . test output does not match test input, the algorithms use back propagation to fix mistakes.
- Active back propagation is dependent on ion channels and changing the densities or properties of these channels can influence the degree to which the signal is attenuated.
- This allows Faraday rotators to be used to construct devices such as optical isolators to prevent undesired back propagation of light from disrupting or damaging an optical system.
- Back propagation is where the forward stimulation is used to reset weights on the " front " neural units and this is sometimes done in combination with training where the correct result is known.
- One popular approach for approximating the weights so the error term is minimized is with a learning algorithm called the generalized delta rule that is incorporated in a training procedure called "'back propagation of error " '.
- Back propagation is at the heart of most artificial neural networks and not only is there no evidence of any such mechanism in natural neural networks, it seems to contradict the fundamental principle of real neurons that information can only flow forward along the axon.