Topics similar to or like Recurrent neural network
Class of artificial neural networks where connections between nodes form a directed graph along a temporal sequence. Wikipedia
Artificial neural network wherein connections between the nodes do not form a cycle. Different from its descendant: recurrent neural networks. Wikipedia
There are many types of artificial neural networks (ANN). Artificial neural networks are computational models inspired by biological neural networks, and are used to approximate functions that are generally unknown. Wikipedia
Part of a broader family of machine learning methods based on artificial neural networks with representation learning. Learning can be supervised, semi-supervised or unsupervised. Wikipedia
Network or circuit of neurons, or in a modern sense, an artificial neural network, composed of artificial neurons or nodes. Either a biological neural network, made up of real biological neurons, or an artificial neural network, for solving artificial intelligence problems. Wikipedia
Artificial neural networks (ANNs), usually simply called neural networks (NNs), are computing systems vaguely inspired by the biological neural networks that constitute animal brains. Based on a collection of connected units or nodes called artificial neurons, which loosely model the neurons in a biological brain. Wikipedia
Encountered when training artificial neural networks with gradient-based learning methods and backpropagation. Update proportional to the partial derivative of the error function with respect to the current weight in each iteration of training. Wikipedia
Sentences forRecurrent neural network
- Alternatively, networks that allow connections between neurons in the same or previous layers are known as recurrent networks''.Artificial neural network-Wikipedia
- In theory, classic (or "vanilla") RNNs can keep track of arbitrary long-term dependencies in the input sequences.Long short-term memory-Wikipedia
- Long short-term memory (LSTM) recurrent units are typically incorporated after the CNN to account for inter-frame or inter-clip dependencies.Convolutional neural network-Wikipedia
- Recurrent neural networks (RNN) propagate data forward, but also backwards, from later processing stages to earlier stages.Types of artificial neural networks-Wikipedia
- The results of exploration of recurrent multilayered GMDH algorithms are described in the books.Alexey Ivakhnenko-Wikipedia
- Recurrent neural networks are a type of ANN that are designed to process sequences of data in order, one part at a time rather than all at once.Machine learning in video games-Wikipedia
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