Long short-term memory.
In LSTM Network (Understanding LSTMs), Why input gate and output gate use tanh? what is the intuition behind this? it …
machine-learning deep-learning lstm recurrent-neural-network activation-functionWhile running a sentdex tutorial script of a cryptocurrency RNN, link here YouTube Tutorial: Cryptocurrency-predicting RNN Model, but have encountered …
python tensorflow keras lstmI am trying to implement a LSTM based speech recognizer. So far I could set up bidirectional LSTM (i think …
deep-learning keras lstmI have the following code in Keras (Basically I am modifying this code for my use) and I get this …
python keras lstm recurrent-neural-networkimport torch,ipdb import torch.autograd as autograd import torch.nn as nn import torch.nn.functional as F import …
neural-network lstm pytorch rnnFrom the Keras documentation: dropout: Float between 0 and 1. Fraction of the units to drop for the linear transformation of the …
keras lstm dropoutIs there a way to calculate the total number of parameters in a LSTM network. I have found a example …
machine-learning neural-network deep-learning keras lstmIn Keras, the high-level deep learning library, there are multiple types of recurrent layers; these include LSTM (Long short term …
tensorflow keras lstmI'm having trouble using buckets in my Tensorflow model. When I run it with buckets = [(100, 100)], it works fine. When I …
python-3.x tensorflow nlp lstm sequence-to-sequence