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  2. 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 ...

  3. Types of artificial neural networks - Wikipedia

    en.wikipedia.org/wiki/Types_of_artificial_neural...

    Some artificial neural networks are adaptive systems and are used for example to model populations and environments, which constantly change. Neural networks can be hardware- (neurons are represented by physical components) or software-based (computer models), and can use a variety of topologies and learning algorithms.

  4. Connectionist temporal classification - Wikipedia

    en.wikipedia.org/wiki/Connectionist_temporal...

    Connectionist temporal classification (CTC) is a type of neural network output and associated scoring function, for training recurrent neural networks (RNNs) such as LSTM networks to tackle sequence problems where the timing is variable.

  5. Time delay neural network - Wikipedia

    en.wikipedia.org/wiki/Time_delay_neural_network

    Video has a temporal dimension that makes a TDNN an ideal solution to analysing motion patterns. An example of this analysis is a combination of vehicle detection and recognizing pedestrians. [ 15 ] When examining videos, subsequent images are fed into the TDNN as input where each image is the next frame in the video.

  6. 'He really is the king': How 'Mufasa' lionizes the legendary ...

    www.aol.com/really-king-mufasa-lionizes...

    Mufasa was one of James Earl Jones' most iconic roles, and from the start, Disney's new "Lion King" movie pays tribute to his legacy.

  7. 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.

  8. Lil Wayne comments on Kendrick Lamar, Super Bowl controversy ...

    www.aol.com/lil-wayne-comments-kendrick-lamar...

    Following the controversy surrounding the 2025 Super Bowl Halftime Show, there appears to be no static between Lil Wayne and Kendrick Lamar.. Lil Wayne, real name Dwayne Carter, has been ...

  9. Khloé Kardashian Shares Sweet Clip of Kids True, Tatum and ...

    www.aol.com/lifestyle/khlo-kardashian-shares...

    Khloé Kardashian has a house of festive fun!. On Tuesday, Dec. 17, the Good American co-founder, 40, shared clips on her Instagram Stories of daughter True, 6, son Tatum, 2, and niece Dream, 8 ...

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