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 networks vs. State space models
Mar 8, 2023 · Recurrent neural networks vs. State space models Ask Question Asked 2 years, 9 months ago Modified 2 years, 9 months ago
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 …
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 neural network - RNN weight and state matrices - Cross …
Nov 7, 2023 · Implementations of RNN in NLP tasks, like those in https://dennybritz.com/posts/wildml/recurrent-neural-networks-tutorial-part-2/, are done using …
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
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 …
Why do RNNs have a tendency to suffer from vanishing/exploding …
Mar 6, 2015 · 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).
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 …
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...