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gptkbp:instance_of
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gptkb:microprocessor
|
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gptkbp:bfsLayer
|
4
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gptkbp:bfsParent
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gptkb:CNTK
|
|
gptkbp:allows
|
computationally intensive
difficult to interpret
requires large datasets
|
|
gptkbp:applies_to
|
video analysis
image captioning
music generation
|
|
gptkbp:architectural_style
|
hidden layers
input layer
output layer
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|
gptkbp:developed_by
|
gptkb:Jürgen_Schmidhuber
gptkb:Sepp_Hochreiter
|
|
gptkbp:first_introduced
|
gptkb:1997
|
|
gptkbp:has_variants
|
gptkb:Conv_LSTM
gptkb:Stacked_LSTM
Bidirectional LSTM
|
|
https://www.w3.org/2000/01/rdf-schema#label
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Long Short-Term Memory Network
|
|
gptkbp:improves
|
gradient flow
|
|
gptkbp:is_a_solution_for
|
vanishing gradient problem
|
|
gptkbp:is_characterized_by
|
gptkb:gate
cell state
forget gate
input gate
output gate
|
|
gptkbp:is_compared_to
|
gptkb:Gated_Recurrent_Unit
|
|
gptkbp:is_evaluated_by
|
gptkb:municipality
F1 score
accuracy
precision
loss function
|
|
gptkbp:is_implemented_in
|
gptkb:Graphics_Processing_Unit
gptkb:Keras
gptkb:Py_Torch
|
|
gptkbp:is_part_of
|
gptkb:microprocessor
gptkb:Artificial_Intelligence
gptkb:software_framework
|
|
gptkbp:is_popular_in
|
deep learning
|
|
gptkbp:is_used_for
|
natural language processing
speech recognition
time series forecasting
sequence prediction
|
|
gptkbp:is_used_in
|
machine translation
sentiment analysis
chatbots
stock price prediction
|
|
gptkbp:requires
|
backpropagation through time
|
|
gptkbp:training
|
gptkb:Adam_optimizer
stochastic gradient descent
RM Sprop
|