SlideShare a Scribd company logo
1 of 4
© SuperDataScienceDeep Learning A-Z
© SuperDataScienceDeep Learning A-Z
1
2
3
4
© SuperDataScienceDeep Learning A-Z
1
2
3
4
X1
X2
X3
X4
X1
0
X3
0
© SuperDataScienceDeep Learning A-Z
Extracting and Composing Robust
Features with Denoising Autoencoders
By Pascal Vincent et al. (2008)
Link:
http://www.cs.toronto.edu/~larocheh/publications/icml-2008-denoising-
autoencoders.pdf
Additional Reading:

More Related Content

What's hot

What's hot (13)

Deep Learning A-Z™: Recurrent Neural Networks (RNN) - LSTMs
Deep Learning A-Z™: Recurrent Neural Networks (RNN) - LSTMsDeep Learning A-Z™: Recurrent Neural Networks (RNN) - LSTMs
Deep Learning A-Z™: Recurrent Neural Networks (RNN) - LSTMs
 
Deep Learning A-Z™: Convolutional Neural Networks (CNN) - Summary
Deep Learning A-Z™: Convolutional Neural Networks (CNN) - SummaryDeep Learning A-Z™: Convolutional Neural Networks (CNN) - Summary
Deep Learning A-Z™: Convolutional Neural Networks (CNN) - Summary
 
Deep Learning A-Z™: Recurrent Neural Networks (RNN) - The Idea Behind Recurre...
Deep Learning A-Z™: Recurrent Neural Networks (RNN) - The Idea Behind Recurre...Deep Learning A-Z™: Recurrent Neural Networks (RNN) - The Idea Behind Recurre...
Deep Learning A-Z™: Recurrent Neural Networks (RNN) - The Idea Behind Recurre...
 
Deep Learning A-Z™: Boltzmann Machines - Boltzmann Machine
Deep Learning A-Z™: Boltzmann Machines  - Boltzmann MachineDeep Learning A-Z™: Boltzmann Machines  - Boltzmann Machine
Deep Learning A-Z™: Boltzmann Machines - Boltzmann Machine
 
Deep Learning A-Z™: AutoEncoders - Module 6
Deep Learning A-Z™: AutoEncoders  - Module 6Deep Learning A-Z™: AutoEncoders  - Module 6
Deep Learning A-Z™: AutoEncoders - Module 6
 
Deep Learning A-Z™: Recurrent Neural Networks (RNN) - Module 3
Deep Learning A-Z™: Recurrent Neural Networks (RNN) - Module 3Deep Learning A-Z™: Recurrent Neural Networks (RNN) - Module 3
Deep Learning A-Z™: Recurrent Neural Networks (RNN) - Module 3
 
Deep Learning A-Z™: Artificial Neural Networks (ANN) - Plan of Attack
Deep Learning A-Z™: Artificial Neural Networks (ANN) - Plan of AttackDeep Learning A-Z™: Artificial Neural Networks (ANN) - Plan of Attack
Deep Learning A-Z™: Artificial Neural Networks (ANN) - Plan of Attack
 
Deep Learning A-Z™: Artificial Neural Networks (ANN) - The Activation Function
Deep Learning A-Z™: Artificial Neural Networks (ANN) - The Activation FunctionDeep Learning A-Z™: Artificial Neural Networks (ANN) - The Activation Function
Deep Learning A-Z™: Artificial Neural Networks (ANN) - The Activation Function
 
Deep Learning A-Z™: Artificial Neural Networks (ANN) - The Neuron
Deep Learning A-Z™: Artificial Neural Networks (ANN) - The NeuronDeep Learning A-Z™: Artificial Neural Networks (ANN) - The Neuron
Deep Learning A-Z™: Artificial Neural Networks (ANN) - The Neuron
 
Deep Learning A-Z™: Artificial Neural Networks (ANN) - Module 1
Deep Learning A-Z™: Artificial Neural Networks (ANN) - Module 1Deep Learning A-Z™: Artificial Neural Networks (ANN) - Module 1
Deep Learning A-Z™: Artificial Neural Networks (ANN) - Module 1
 
Taras Lehinevych "Shadows Generation in the Wild"
Taras Lehinevych "Shadows Generation in the Wild"Taras Lehinevych "Shadows Generation in the Wild"
Taras Lehinevych "Shadows Generation in the Wild"
 
Deep Learning A-Z™: Convolutional Neural Networks (CNN) - Step 3: Flattening
Deep Learning A-Z™: Convolutional Neural Networks (CNN) - Step 3: FlatteningDeep Learning A-Z™: Convolutional Neural Networks (CNN) - Step 3: Flattening
Deep Learning A-Z™: Convolutional Neural Networks (CNN) - Step 3: Flattening
 
Deep Learning A-Z™: Convolutional Neural Networks (CNN) - Step 1(b): ReLU Layer
Deep Learning A-Z™: Convolutional Neural Networks (CNN) - Step 1(b): ReLU LayerDeep Learning A-Z™: Convolutional Neural Networks (CNN) - Step 1(b): ReLU Layer
Deep Learning A-Z™: Convolutional Neural Networks (CNN) - Step 1(b): ReLU Layer
 

More from Kirill Eremenko

More from Kirill Eremenko (19)

Deep Learning A-Z™: Boltzmann Machine - Module 5 - Boltzmann Machine
Deep Learning A-Z™: Boltzmann Machine - Module 5 - Boltzmann MachineDeep Learning A-Z™: Boltzmann Machine - Module 5 - Boltzmann Machine
Deep Learning A-Z™: Boltzmann Machine - Module 5 - Boltzmann Machine
 
Deep Learning A-Z™: Regression & Classification - Module 7
Deep Learning A-Z™: Regression & Classification - Module 7Deep Learning A-Z™: Regression & Classification - Module 7
Deep Learning A-Z™: Regression & Classification - Module 7
 
Deep Learning A-Z™: Regression & Classification - Simple Linear Regression - ...
Deep Learning A-Z™: Regression & Classification - Simple Linear Regression - ...Deep Learning A-Z™: Regression & Classification - Simple Linear Regression - ...
Deep Learning A-Z™: Regression & Classification - Simple Linear Regression - ...
 
Deep Learning A-Z™: Regression & Classification - Simple Linear Regression - ...
Deep Learning A-Z™: Regression & Classification - Simple Linear Regression - ...Deep Learning A-Z™: Regression & Classification - Simple Linear Regression - ...
Deep Learning A-Z™: Regression & Classification - Simple Linear Regression - ...
 
Deep Learning A-Z™: Autoencoders - Contractive Autoencoders
Deep Learning A-Z™: Autoencoders  - Contractive AutoencodersDeep Learning A-Z™: Autoencoders  - Contractive Autoencoders
Deep Learning A-Z™: Autoencoders - Contractive Autoencoders
 
Deep Learning A-Z™: Regression & Classification - Logistic Regression
Deep Learning A-Z™: Regression & Classification - Logistic RegressionDeep Learning A-Z™: Regression & Classification - Logistic Regression
Deep Learning A-Z™: Regression & Classification - Logistic Regression
 
Deep Learning A-Z™: Boltzmann Machines - Restricted Boltzmann Machine
Deep Learning A-Z™: Boltzmann Machines  - Restricted Boltzmann MachineDeep Learning A-Z™: Boltzmann Machines  - Restricted Boltzmann Machine
Deep Learning A-Z™: Boltzmann Machines - Restricted Boltzmann Machine
 
Deep Learning A-Z™: Regression - Multiple Linear Regression Intuition
Deep Learning A-Z™: Regression - Multiple Linear Regression IntuitionDeep Learning A-Z™: Regression - Multiple Linear Regression Intuition
Deep Learning A-Z™: Regression - Multiple Linear Regression Intuition
 
Deep Learning A-Z™: Boltzmann Machines - Deep Belief Networks
Deep Learning A-Z™: Boltzmann Machines  - Deep Belief NetworksDeep Learning A-Z™: Boltzmann Machines  - Deep Belief Networks
Deep Learning A-Z™: Boltzmann Machines - Deep Belief Networks
 
Deep Learning A-Z™: Boltzmann Machines - Contrastive Divergence
Deep Learning A-Z™: Boltzmann Machines  - Contrastive DivergenceDeep Learning A-Z™: Boltzmann Machines  - Contrastive Divergence
Deep Learning A-Z™: Boltzmann Machines - Contrastive Divergence
 
Deep Learning A-Z™: AutoEncoders - Training an AutoEncoder
Deep Learning A-Z™: AutoEncoders  - Training an AutoEncoderDeep Learning A-Z™: AutoEncoders  - Training an AutoEncoder
Deep Learning A-Z™: AutoEncoders - Training an AutoEncoder
 
Deep Learning A-Z™: AutoEncoders - AutoEncoders
Deep Learning A-Z™: AutoEncoders  - AutoEncodersDeep Learning A-Z™: AutoEncoders  - AutoEncoders
Deep Learning A-Z™: AutoEncoders - AutoEncoders
 
Deep Learning A-Z™: Boltzmann Machines - Plan of Attack
Deep Learning A-Z™: Boltzmann Machines  - Plan of AttackDeep Learning A-Z™: Boltzmann Machines  - Plan of Attack
Deep Learning A-Z™: Boltzmann Machines - Plan of Attack
 
Deep Learning A-Z™: Boltzmann Machines - Module 5
Deep Learning A-Z™: Boltzmann Machines  - Module 5Deep Learning A-Z™: Boltzmann Machines  - Module 5
Deep Learning A-Z™: Boltzmann Machines - Module 5
 
Deep Learning A-Z™: Self Organizing Maps (SOM) - Reading an Advanced SOM
Deep Learning A-Z™: Self Organizing Maps (SOM) - Reading an Advanced SOMDeep Learning A-Z™: Self Organizing Maps (SOM) - Reading an Advanced SOM
Deep Learning A-Z™: Self Organizing Maps (SOM) - Reading an Advanced SOM
 
Deep Learning A-Z™: Self Organizing Maps (SOM) - K-Means Clustering (part 2)
Deep Learning A-Z™: Self Organizing Maps (SOM) - K-Means Clustering (part 2)Deep Learning A-Z™: Self Organizing Maps (SOM) - K-Means Clustering (part 2)
Deep Learning A-Z™: Self Organizing Maps (SOM) - K-Means Clustering (part 2)
 
Deep Learning A-Z™: Self Organizing Maps (SOM) - K-Means Clustering
Deep Learning A-Z™: Self Organizing Maps (SOM) - K-Means ClusteringDeep Learning A-Z™: Self Organizing Maps (SOM) - K-Means Clustering
Deep Learning A-Z™: Self Organizing Maps (SOM) - K-Means Clustering
 
Deep Learning A-Z™: Convolutional Neural Networks (CNN) - Step 1: Convolution...
Deep Learning A-Z™: Convolutional Neural Networks (CNN) - Step 1: Convolution...Deep Learning A-Z™: Convolutional Neural Networks (CNN) - Step 1: Convolution...
Deep Learning A-Z™: Convolutional Neural Networks (CNN) - Step 1: Convolution...
 
Deep Learning A-Z™: Self Organizing Maps (SOM) - How do SOMs learn (part 1)
Deep Learning A-Z™: Self Organizing Maps (SOM) - How do SOMs learn (part 1)Deep Learning A-Z™: Self Organizing Maps (SOM) - How do SOMs learn (part 1)
Deep Learning A-Z™: Self Organizing Maps (SOM) - How do SOMs learn (part 1)
 

Recently uploaded

The basics of sentences session 3pptx.pptx
The basics of sentences session 3pptx.pptxThe basics of sentences session 3pptx.pptx
The basics of sentences session 3pptx.pptx
heathfieldcps1
 
Jual Obat Aborsi Hongkong ( Asli No.1 ) 085657271886 Obat Penggugur Kandungan...
Jual Obat Aborsi Hongkong ( Asli No.1 ) 085657271886 Obat Penggugur Kandungan...Jual Obat Aborsi Hongkong ( Asli No.1 ) 085657271886 Obat Penggugur Kandungan...
Jual Obat Aborsi Hongkong ( Asli No.1 ) 085657271886 Obat Penggugur Kandungan...
ZurliaSoop
 

Recently uploaded (20)

Interdisciplinary_Insights_Data_Collection_Methods.pptx
Interdisciplinary_Insights_Data_Collection_Methods.pptxInterdisciplinary_Insights_Data_Collection_Methods.pptx
Interdisciplinary_Insights_Data_Collection_Methods.pptx
 
This PowerPoint helps students to consider the concept of infinity.
This PowerPoint helps students to consider the concept of infinity.This PowerPoint helps students to consider the concept of infinity.
This PowerPoint helps students to consider the concept of infinity.
 
Micro-Scholarship, What it is, How can it help me.pdf
Micro-Scholarship, What it is, How can it help me.pdfMicro-Scholarship, What it is, How can it help me.pdf
Micro-Scholarship, What it is, How can it help me.pdf
 
Food safety_Challenges food safety laboratories_.pdf
Food safety_Challenges food safety laboratories_.pdfFood safety_Challenges food safety laboratories_.pdf
Food safety_Challenges food safety laboratories_.pdf
 
Plant propagation: Sexual and Asexual propapagation.pptx
Plant propagation: Sexual and Asexual propapagation.pptxPlant propagation: Sexual and Asexual propapagation.pptx
Plant propagation: Sexual and Asexual propapagation.pptx
 
Holdier Curriculum Vitae (April 2024).pdf
Holdier Curriculum Vitae (April 2024).pdfHoldier Curriculum Vitae (April 2024).pdf
Holdier Curriculum Vitae (April 2024).pdf
 
Sensory_Experience_and_Emotional_Resonance_in_Gabriel_Okaras_The_Piano_and_Th...
Sensory_Experience_and_Emotional_Resonance_in_Gabriel_Okaras_The_Piano_and_Th...Sensory_Experience_and_Emotional_Resonance_in_Gabriel_Okaras_The_Piano_and_Th...
Sensory_Experience_and_Emotional_Resonance_in_Gabriel_Okaras_The_Piano_and_Th...
 
UGC NET Paper 1 Mathematical Reasoning & Aptitude.pdf
UGC NET Paper 1 Mathematical Reasoning & Aptitude.pdfUGC NET Paper 1 Mathematical Reasoning & Aptitude.pdf
UGC NET Paper 1 Mathematical Reasoning & Aptitude.pdf
 
How to Give a Domain for a Field in Odoo 17
How to Give a Domain for a Field in Odoo 17How to Give a Domain for a Field in Odoo 17
How to Give a Domain for a Field in Odoo 17
 
Graduate Outcomes Presentation Slides - English
Graduate Outcomes Presentation Slides - EnglishGraduate Outcomes Presentation Slides - English
Graduate Outcomes Presentation Slides - English
 
The basics of sentences session 3pptx.pptx
The basics of sentences session 3pptx.pptxThe basics of sentences session 3pptx.pptx
The basics of sentences session 3pptx.pptx
 
NO1 Top Black Magic Specialist In Lahore Black magic In Pakistan Kala Ilam Ex...
NO1 Top Black Magic Specialist In Lahore Black magic In Pakistan Kala Ilam Ex...NO1 Top Black Magic Specialist In Lahore Black magic In Pakistan Kala Ilam Ex...
NO1 Top Black Magic Specialist In Lahore Black magic In Pakistan Kala Ilam Ex...
 
How to Add New Custom Addons Path in Odoo 17
How to Add New Custom Addons Path in Odoo 17How to Add New Custom Addons Path in Odoo 17
How to Add New Custom Addons Path in Odoo 17
 
Single or Multiple melodic lines structure
Single or Multiple melodic lines structureSingle or Multiple melodic lines structure
Single or Multiple melodic lines structure
 
Jual Obat Aborsi Hongkong ( Asli No.1 ) 085657271886 Obat Penggugur Kandungan...
Jual Obat Aborsi Hongkong ( Asli No.1 ) 085657271886 Obat Penggugur Kandungan...Jual Obat Aborsi Hongkong ( Asli No.1 ) 085657271886 Obat Penggugur Kandungan...
Jual Obat Aborsi Hongkong ( Asli No.1 ) 085657271886 Obat Penggugur Kandungan...
 
Accessible Digital Futures project (20/03/2024)
Accessible Digital Futures project (20/03/2024)Accessible Digital Futures project (20/03/2024)
Accessible Digital Futures project (20/03/2024)
 
Towards a code of practice for AI in AT.pptx
Towards a code of practice for AI in AT.pptxTowards a code of practice for AI in AT.pptx
Towards a code of practice for AI in AT.pptx
 
Beyond_Borders_Understanding_Anime_and_Manga_Fandom_A_Comprehensive_Audience_...
Beyond_Borders_Understanding_Anime_and_Manga_Fandom_A_Comprehensive_Audience_...Beyond_Borders_Understanding_Anime_and_Manga_Fandom_A_Comprehensive_Audience_...
Beyond_Borders_Understanding_Anime_and_Manga_Fandom_A_Comprehensive_Audience_...
 
Kodo Millet PPT made by Ghanshyam bairwa college of Agriculture kumher bhara...
Kodo Millet  PPT made by Ghanshyam bairwa college of Agriculture kumher bhara...Kodo Millet  PPT made by Ghanshyam bairwa college of Agriculture kumher bhara...
Kodo Millet PPT made by Ghanshyam bairwa college of Agriculture kumher bhara...
 
ICT role in 21st century education and it's challenges.
ICT role in 21st century education and it's challenges.ICT role in 21st century education and it's challenges.
ICT role in 21st century education and it's challenges.
 

Deep Learning A-Z™: Autoencoders - Denoising Autoencoders