Home Dictionary Bbackpropagation

backpropagation

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gradient descent neural network learning weight bias error cost loss function derivative chain rule calculus optimization perceptron multilayer activation sigmoid tanh softmax epoch batch iteration convergence overfitting underfitting regularization dropout momentum stochastic propagation feedforward layer hidden input output neuron synapse tensor matrix vector partial training inference hyperparameter optimizer architecture node edge backtrack adjustment minimization maximization slope tangent curvature hessian jacobian

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