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  2. Bidirectional recurrent neural networks - Wikipedia

    en.wikipedia.org/wiki/Bidirectional_recurrent...

    However, when back-propagation through time is applied, additional processes are needed because updating input and output layers cannot be done at once. General procedures for training are as follows: For forward pass, forward states and backward states are passed first, then output neurons are passed.

  3. Automatic differentiation - Wikipedia

    en.wikipedia.org/wiki/Automatic_differentiation

    Reverse accumulation is more efficient than forward accumulation for functions f : R n → R m with n ≫ m as only m sweeps are necessary, compared to n sweeps for forward accumulation. Backpropagation of errors in multilayer perceptrons, a technique used in machine learning , is a special case of reverse accumulation.

  4. Backpropagation - Wikipedia

    en.wikipedia.org/wiki/Backpropagation

    Backpropagation computes the gradient of a loss function with respect to the weights of the network for a single input–output example, and does so efficiently, computing the gradient one layer at a time, iterating backward from the last layer to avoid redundant calculations of intermediate terms in the chain rule; this can be derived through ...

  5. Differential dynamic programming - Wikipedia

    en.wikipedia.org/wiki/Differential_Dynamic...

    DDP proceeds by iteratively performing a backward pass on the nominal trajectory to generate a new control sequence, and then a forward-pass to compute and evaluate a new nominal trajectory. We begin with the backward pass. If (,) + ((,), +)

  6. Forward pass - Wikipedia

    en.wikipedia.org/wiki/Forward_pass

    Matt Hasselbeck of Seattle Seahawks dropping back to pass against Green Bay Packers in 2009. The moment that a forward pass begins is important to the game. The pass begins the moment the passer's arm begins to move forward. If the passer drops the ball before this moment it is a fumble and therefore a loose ball. In this case anybody can gain ...

  7. Forward–backward algorithm - Wikipedia

    en.wikipedia.org/wiki/Forwardbackward_algorithm

    The first pass goes forward in time while the second goes backward in time; hence the name forward–backward algorithm. The term forward–backward algorithm is also used to refer to any algorithm belonging to the general class of algorithms that operate on sequence models in a forward–backward manner. In this sense, the descriptions in the ...

  8. Graphical path method - Wikipedia

    en.wikipedia.org/wiki/Graphical_path_method

    This requires a standby calculation engine to perform a forward pass and a backward pass of the entire network when planning ceases or when an interim calculation is necessary for further planning. The result is that planning and scheduling are separate processes performed in sequential order.

  9. Backward chaining - Wikipedia

    en.wikipedia.org/wiki/Backward_chaining

    Backward chaining is implemented in logic programming by SLD resolution. Both rules are based on the modus ponens inference rule. It is one of the two most commonly used methods of reasoning with inference rules and logical implications – the other is forward chaining. Backward chaining systems usually employ a depth-first search strategy, e ...