Vanishing gradient problem

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Solutions

Long short-term memory Schmidhuber Batch normalization Unsupervised learning Feature detectors

21 related topics

Overview

Machine learning Gradient Neural networks Backpropagation Partial derivative

19 related topics

Prototypical models

Differential Autonomous

2 related topics

Topics to explore

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Overview

Machine learning
Gradient
Neural networks Neural network (machine learning)
Backpropagation
Partial derivative
Loss function
Hyperbolic tangent
Activation function
Supervised Supervised learning
Hochreiter Sepp Hochreiter
Diplom
Many-layered Deep learning
Feedforward networks Feedforward neural network
Recurrent networks Recurrent neural network
Backpropagation through time
Sigmoid activation function Sigmoid function
Operator norm
Spectral radius
Loss differential Vanishing gradient problem

Prototypical models

Differential Differential form
Autonomous Autonomous system (mathematics)

Solutions

Long short-term memory
Schmidhuber Jürgen Schmidhuber
Batch normalization
Unsupervised learning
Feature detectors Feature detection (nervous system)
Deep belief network
Latent variables Latent variable
Restricted Boltzmann machine
Lower-bound Lower bound
Log likelihood
Generative model
GPUs General-purpose computing on graphics processing units
Xeon processor Xeon
Residual connections Residual neural network
Rectifiers Rectifier (neural networks)
ReLU
Weight initialization
Rprop
Neural Abstraction Pyramid Neural Abstraction Pyramid?action=edit&redlink=1
Random guess
Genetic algorithm

Advanced semantic analysis

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Map overview Semantic statistics

Nodes46

Edges45

Triples29

Avg. degree1.96

Density0.043478

Components1

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Vanishing gradient problem

Top relations

related to Recurrent network model · 6

Vanishing gradient problem → Delta, Let, Now, Often, The, Training

related to Faster hardware · 5

Vanishing gradient problem → GPUs, Hardware, Hinton, Schmidhuber, Xeon

related to Other · 5

Vanishing gradient problem → Behnke, Neural, Neural Abstraction Pyramid, Rprop, This

related to Weight initialization · 3

Vanishing gradient problem → Gaussian, Kumar, Weight

related to Other activation functions · 2

Vanishing gradient problem → Rectifiers, ReLU

is a · 1

Vanishing gradient problem → problem of greatly diverging gradient magnitudes between earlier and later layers encountered when training neural networks with backpropagation

related to Batch normalization · 1

Vanishing gradient problem → Batch

Important terminology Word statistics

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Important terminology

gradient displaystyle networks network problem vanishing backpropagation neural function gradients deep recurrent exploding weights nabla layers earlier activation theta left

Entity relationships Subject–Predicate–Object triples

Subject	Predicate	Object	Confidence	Src
Vanishing gradient problem	is a	problem of greatly diverging gradient magnitudes between earlier and later layers encountered when training neural networks with backpropagation	0.90	text
ReLU suffer less from the vanishing gradient problem	instance of	for which there is no vanishing gradient problem.Other activation functionsRectifiers	0.80	text
because they only saturate in one direction.Weight initializationWeight initialization is another approach that has been proposed to reduce the vanishing gradient problem in deep networks.Kumar suggested that the distribution of initial weights should vary according to activation function used	instance of	for which there is no vanishing gradient problem.Other activation functionsRectifiers	0.80	text
proposed to initialize the weights in networks with the logistic activation function using a Gaussian distribution with a zero mean	instance of	for which there is no vanishing gradient problem.Other activation functionsRectifiers	0.80	text
a standard deviation of 3.6 / N	instance of	for which there is no vanishing gradient problem.Other activation functionsRectifiers	0.80	text
ReLU suffer less from the vanishing gradient problem	instance of	Other activation functionsRectifiers	0.80	text
because they only saturate in one direction	instance of	Other activation functionsRectifiers	0.80	text
Vanishing gradient problem	related to Batch normalization	Batch	0.60	section
Vanishing gradient problem	related to Faster hardware	Hardware	0.60	section
Vanishing gradient problem	related to Faster hardware	GPUs	0.60	section
Vanishing gradient problem	related to Faster hardware	Schmidhuber	0.60	section
Vanishing gradient problem	related to Faster hardware	Hinton	0.60	section

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Solutions

Overview

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Key facts & relationships

Topics to explore

Overview

Prototypical models

Solutions

Advanced semantic analysis

Map overview Semantic statistics

Vanishing gradient problem

How this topic connects Entity context

Vanishing gradient problem

Top relations

Important terminology Word statistics

Important terminology

Entity relationships Subject–Predicate–Object triples

Related concept clusters Concept neighborhoods

Connections between topic areas Semantic bridges