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- Hidden Markov Model vs Recurrent Neural Network
Summary Hidden Markov Models (HMMs) are much simpler than Recurrent Neural Networks (RNNs), and rely on strong assumptions which may not always be true If the assumptions are true then you may see better performance from an HMM since it is less finicky to get working
- Recurrent vs Recursive Neural Networks: Which is better for NLP?
62 There are Recurrent Neural Networks and Recursive Neural Networks Both are usually denoted by the same acronym: RNN According to Wikipedia, Recurrent NN are in fact Recursive NN, but I don't really understand the explanation Moreover, I don't seem to find which is better (with examples or so) for Natural Language Processing
- machine learning - Why do RNNs have a tendency to . . . - Cross Validated
Why do recurrent neural networks (RNNs) have a tendency to suffer from vanishing exploding gradient? For what a vanishing exploding gradient is, see Pascanu, et al (2013) On the difficulty of tr
- machine learning - Proper way of using recurrent neural network for . . .
Recurrent neural networks differ from "regular" ones by the fact that they have a "memory" layer Due to this layer, recurrent NN's are supposed to be useful in time series modelling However, I'm
- Recurrent neural networks vs. State space models
Recurrent neural networks vs State space models Ask Question Asked 2 years, 4 months ago Modified 2 years, 4 months ago
- neural networks - Difference between feedback RNN and LSTM GRU - Cross . . .
41 I am trying to understand different Recurrent Neural Network (RNN) architectures to be applied to time series data and I am getting a bit confused with the different names that are frequently used when describing RNNs Is the structure of Long Short-Term Memory (LSTM) and Gated Recurrent Unit (GRU) essentially an RNN with a feedback loop?
- What is an intuitive explanation of Echo State Networks?
I am new to Recurrent Neural Networks (RNN) and still learning the concepts I understand at an abstract level that an Echo State Network (ESN) is able to (re)produce a sequence of inputs, i e a signal, even after the input has been removed
- Recurrent vs Hopfield neural networks - Cross Validated
What is the difference between recurrent neural networks and Hopfield networks, or are they same?
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