enow.com Web Search

Search results

  1. Results from the WOW.Com Content Network
  2. Long short-term memory - Wikipedia

    en.wikipedia.org/wiki/Long_short-term_memory

    The Long Short-Term Memory (LSTM) cell can process data sequentially and keep its hidden state through time. Long short-term memory (LSTM) [1] is a type of recurrent neural network (RNN) aimed at mitigating the vanishing gradient problem [2] commonly encountered by traditional RNNs.

  3. File:LSTM cell.svg - Wikipedia

    en.wikipedia.org/wiki/File:LSTM_cell.svg

    English: Structure of a LSTM (Long Short-term Memory) cell. Orange boxes are activation functions (like sigmoid and tanh), yellow circles are pointwise operations. A linear transformation is used when two arrows merge. When one arrow splits, this is a copy operation.

  4. 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.

  5. Gated recurrent unit - Wikipedia

    en.wikipedia.org/wiki/Gated_recurrent_unit

    Gated recurrent units (GRUs) are a gating mechanism in recurrent neural networks, introduced in 2014 by Kyunghyun Cho et al. [1] The GRU is like a long short-term memory (LSTM) with a gating mechanism to input or forget certain features, [2] but lacks a context vector or output gate, resulting in fewer parameters than LSTM. [3]

  6. Residual neural network - Wikipedia

    en.wikipedia.org/wiki/Residual_neural_network

    He and Schmidhuber later designed the LSTM architecture to solve this problem, [4] [21] which has a "cell state" that can function as a generalized residual connection. The highway network (2015) [22] [23] applied the idea of an LSTM unfolded in time to feedforward neural networks, resulting in the highway network. ResNet is equivalent to an ...

  7. State diagram - Wikipedia

    en.wikipedia.org/wiki/State_diagram

    A state diagram for a door that can only be opened and closed. A state diagram is used in computer science and related fields to describe the behavior of systems. State diagrams require that the system is composed of a finite number of states. Sometimes, this is indeed the case, while at other times this is a reasonable abstraction.

  8. 3 Top Oil Stocks to Buy Before 2024 Is Over - AOL

    www.aol.com/3-top-oil-stocks-buy-150000000.html

    Oil prices bounced around quite a bit in 2024. They rallied more than 20% at one point -- topping $85 per barrel -- before cooling off toward the end of the year. Oil was recently below $70 a ...

  9. Types of artificial neural networks - Wikipedia

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

    The layers constitute a kind of Markov chain such that the states at any layer depend only on the preceding and succeeding layers. DPCNs predict the representation of the layer, by using a top-down approach using the information in upper layer and temporal dependencies from previous states. [126] DPCNs can be extended to form a convolutional ...