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gptkbp:instance_of
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gptkb:neural_networks
|
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gptkbp:analyzes
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Activation Maps
Weight Matrices
|
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gptkbp:can_be_used_for
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gptkb:Pattern_Recognition
Time Series Prediction
Function Approximation
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gptkbp:coat_of_arms
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Hidden Layer
Input Layer
Output Layer
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gptkbp:developed_by
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gptkb:Yoshua_Bengio
gptkb:Geoffrey_R._Hinton
gptkb:Yann_Le_Cun
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gptkbp:has_function
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Continuous Values
Discrete Values
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gptkbp:has_limitations
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Exploding Gradient Problem
Vanishing Gradient Problem
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https://www.w3.org/2000/01/rdf-schema#label
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Feed-Forward Neural Network
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gptkbp:initiated_by
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Sigmoid Function
Re LU
Tanh Function
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gptkbp:is_characterized_by
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Layered Structure
No Cycles
Feed-Forward Architecture
|
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gptkbp:is_compared_to
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gptkb:Radial_Basis_Function_Network
gptkb:neural_networks
|
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gptkbp:is_enhanced_by
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gptkb:Dropout
L2 Regularization
Early Stopping
|
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gptkbp:is_evaluated_by
|
Loss Function
Validation Dataset
Accuracy Metric
Test Dataset
|
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gptkbp:is_implemented_in
|
gptkb:Tensor_Flow
gptkb:Python
gptkb:Keras
gptkb:Py_Torch
|
|
gptkbp:is_optimized_for
|
gptkb:Batch_Normalization
gptkb:Hyperparameter_Tuning
Learning Rate Tuning
|
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gptkbp:is_part_of
|
gptkb:machine_learning
gptkb:Deep_Learning
|
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gptkbp:is_used_in
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gptkb:Natural_Language_Processing
gptkb:speeches
Image Recognition
Classification Tasks
Regression Tasks
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gptkbp:sensitivity
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Overfitting
Underfitting
|
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gptkbp:training
|
Backpropagation
Gradient Descent
|
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gptkbp:bfsParent
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gptkb:Transformer_Architecture
|
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gptkbp:bfsLayer
|
5
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