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  2. 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.

  3. Neural network (machine learning) - Wikipedia

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

    An artificial neural network is an interconnected group of nodes, inspired by a simplification of neurons in a brain.Here, each circular node represents an artificial neuron and an arrow represents a connection from the output of one artificial neuron to the input of another.

  4. RNN - Wikipedia

    en.wikipedia.org/wiki/RNN

    RNN or rnn may refer to: Random neural network , a mathematical representation of an interconnected network of neurons or cells which exchange spiking signals Recurrent neural network , a class of artificial neural networks where connections between nodes form a directed graph along a temporal sequence

  5. Neural network - Wikipedia

    en.wikipedia.org/wiki/Neural_network

    A neural network is a group of interconnected units called neurons that send signals to one another. Neurons can be either biological cells or mathematical models.While individual neurons are simple, many of them together in a network can perform complex tasks.

  6. 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 ...

  7. 4K resolution - Wikipedia

    en.wikipedia.org/wiki/4K_resolution

    In November 2013, YouTube began to use the VP9 video compression standard, saying that it was more suitable for 4K than High Efficiency Video Coding (HEVC). Google, which owns YouTube, developed VP9. [78] Theaters began projecting movies at 4K resolution in 2011. [80] Sony was offering 4K projectors as early as 2004. [81]

  8. Ultra-high-definition television - Wikipedia

    en.wikipedia.org/wiki/Ultra-high-definition...

    On June 26, 2013, Sharp announced the LC-70UD1U, which is a 70 in (180 cm) 4K Ultra HD TV. [134] [135] The LC-70UD1U is the world's first TV with THX 4K certification. [134] [135] On July 2, 2013, Jimmy Kimmel Live! recorded in 4K Ultra HD a performance by musical guest Karmin, and the video clip was used as demonstration material at Sony ...

  9. Activation function - Wikipedia

    en.wikipedia.org/wiki/Activation_function

    Logistic activation function. The activation function of a node in an artificial neural network is a function that calculates the output of the node based on its individual inputs and their weights.