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  2. Bidirectional recurrent neural networks - Wikipedia

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

    Bidirectional recurrent neural networks (BRNN) connect two hidden layers of opposite directions to the same output. With this form of generative deep learning , the output layer can get information from past (backwards) and future (forward) states simultaneously.

  3. Recurrent neural network - Wikipedia

    en.wikipedia.org/wiki/Recurrent_neural_network

    Recurrent neural networks (RNNs) are a class of artificial neural network commonly used for sequential data processing. Unlike feedforward neural networks, which process data in a single pass, RNNs process data across multiple time steps, making them well-adapted for modelling and processing text, speech, and time series.

  4. Long short-term memory - Wikipedia

    en.wikipedia.org/wiki/Long_short-term_memory

    In theory, classic RNNs can keep track of arbitrary long-term dependencies in the input sequences. The problem with classic RNNs is computational (or practical) in nature: when training a classic RNN using back-propagation, the long-term gradients which are back-propagated can "vanish", meaning they can tend to zero due to very small numbers creeping into the computations, causing the model to ...

  5. Bidirectional associative memory - Wikipedia

    en.wikipedia.org/wiki/Bidirectional_associative...

    The memory or storage capacity of BAM may be given as (,), where "" is the number of units in the X layer and "" is the number of units in the Y layer. [3]The internal matrix has n x p independent degrees of freedom, where n is the dimension of the first vector (6 in this example) and p is the dimension of the second vector (4).

  6. Andrew Luck reflects on shocking retirement 5 years later: 'A ...

    www.aol.com/sports/andrew-luck-reflects-shocking...

    It was also not an easy process for the man himself. Five years after the bizarre scene that descended upon an Indianapolis Colts preseason game, the former No. 1 overall draft pick reflected on ...

  7. Neural network (machine learning) - Wikipedia

    en.wikipedia.org/wiki/Neural_network_(machine...

    The simplest kind of feedforward neural network (FNN) is a linear network, which consists of a single layer of output nodes with linear activation functions; the inputs are fed directly to the outputs via a series of weights. The sum of the products of the weights and the inputs is calculated at each node.

  8. Donald Trump asks Michael Whatley to continue leading RNC ...

    www.aol.com/donald-trump-asks-michael-whatley...

    Under Whatley’s leadership, the Republican National Committee laid off more than 60 people and moved more of the party’s operation to Florida, where Trump lives. The party also asked some job ...

  9. 5 Of UBS Highest Conviction 2025 Picks Are Also Dividend ...

    www.aol.com/5-ubs-highest-conviction-2025...

    Enterprise Products Partners L.P. is one of the biggest publicly traded partnerships. This company is one of the largest publicly traded energy partnerships and pays a 6.60% dividend. Enterprise ...