Recurrent Neural Network (RNN) topology: why always fully-connected?
Apr 30, 2016 · EDIT: 3 years after this question was posted, NVIDIA released this paper, arXiv:1905.12340: "Rethinking Full Connectivity in Recurrent Neural Networks", showing that sparser …
recurrent neural network - RNN weight and state matrices - Cross …
Nov 7, 2023 · The matrix dimensions are unrelated to the maximum length of the input. This becomes clear if you examine the equations for whatever RNN variety you're interested in: they all have …
Recurrent neural networks vs. State space models
Mar 8, 2023 · Start asking to get answers Find the answer to your question by asking. Ask question reinforcement-learning recurrent-neural-network state-space-models
Hidden Markov Model vs Recurrent Neural Network
Hidden Markov Model vs Recurrent Neural Network Ask Question Asked 8 years, 7 months ago Modified 5 years, 9 months ago
What's the difference between feed-forward and recurrent neural …
What is the difference between a feed-forward and recurrent neural network? Why would you use one over the other? Do other network topologies exist?
Recurrent vs Recursive Neural Networks: Which is better for NLP?
May 23, 2015 · 63 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 …
Why do RNNs have a tendency to suffer from vanishing/exploding …
Mar 6, 2015 · 21 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). …
Convolutional neural network & recurrent neural network vs. dense ...
May 1, 2023 · What are the benefits of convolutional neural networks structures and recurrent neural network structures compared to the dense feedforward network when there would be enough …
recurrent neural network - RNN vs Kalman filter : learning the ...
Sep 17, 2019 · Being recently interested in Kalman filters and Recurrent neural networks, it appears to me that the two are closely related, yet I can't find relevant enough litterature : In a Kalman filter, the...
neural networks - Difference between feedback RNN and LSTM/GRU
Mar 10, 2020 · 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 …