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Results tagged with deep-learning
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user 13686
a new area of Machine Learning research concerned with the technologies used for learning hierarchical representations of data, mainly done with deep neural networks (i.e. networks with two or more hidden layers), but also with some sort of Probabilistic Graphical Models.
3
votes
1
answer
2k
views
Number of parameters in Neural Network Language Model
The Neural Network language Model (NNLM) by Bengio et.al is a structure extensively used in machine translation, text summarization based on deep learning. What's the computational complexity of this …
- 1,297
4
votes
1
answer
298
views
Importance/intuition behind stacking RNNs
Nowadays there's a trend towards using architectures of "deep" RNNs i.e. vertically stacked RNNs. RNN chapter from Bengio's bookThese networks seem to work well in practice.
What's the intuition aro …
- 1,297
59
votes
5
answers
80k
views
Number of parameters in an LSTM model
How many parameters does a single stacked LSTM have? The number of parameters imposes a lower bound on the number of training examples required and also influences the training time. Hence knowing the …
- 1,297
7
votes
2
answers
27k
views
Number of parameters in an RNN
I'm using a basic RNN as in the figure below (say for translation).
The model has the following structure:
\begin{aligned} s_t &= \tanh(Ux_t + Ws_{t-1}) \\ o_t &= \mathrm{softmax}(Vs_t) \end{aligned}
…
- 1,297