SlideShare a Scribd company logo
1 of 14
zekeLabs
Convolutional Neural Network
Learning made Simpler !
www.zekeLabs.com
Agenda
●
Filters
Filters
Filters
Strides
Output dim after Conv
Padding
Parameter Question
Pooling
Max Pooling
Fully Connected Layer
● High Level Features maps to a particular class
● A FC layer looks at what high level features most strongly correlate to a
particular class and has particular weights so that when you compute the
products between the weights and the previous layer, you get the correct
probabilities for the different classes.
Overfitting
Problems with complex models
Visit : www.zekeLabs.com for more details
THANK YOU
Let us know how can we help your organization to Upskill the
employees to stay updated in the ever-evolving IT Industry.
Get in touch:
www.zekeLabs.com | +91-8095465880 | info@zekeLabs.com

More Related Content

Similar to Convolutional Neural Network

Machine Learning Applied - Contextual Chatbots Coding, Oracle JET and TensorFlow
Machine Learning Applied - Contextual Chatbots Coding, Oracle JET and TensorFlowMachine Learning Applied - Contextual Chatbots Coding, Oracle JET and TensorFlow
Machine Learning Applied - Contextual Chatbots Coding, Oracle JET and TensorFlow
andrejusb
 

Similar to Convolutional Neural Network (20)

The Data Science Process - Do we need it and how to apply?
The Data Science Process - Do we need it and how to apply?The Data Science Process - Do we need it and how to apply?
The Data Science Process - Do we need it and how to apply?
 
ML in the Browser: Interactive Experiences with Tensorflow.js
ML in the Browser: Interactive Experiences with Tensorflow.jsML in the Browser: Interactive Experiences with Tensorflow.js
ML in the Browser: Interactive Experiences with Tensorflow.js
 
Machine Learning Applied - Contextual Chatbots Coding, Oracle JET and TensorFlow
Machine Learning Applied - Contextual Chatbots Coding, Oracle JET and TensorFlowMachine Learning Applied - Contextual Chatbots Coding, Oracle JET and TensorFlow
Machine Learning Applied - Contextual Chatbots Coding, Oracle JET and TensorFlow
 
Build, train, and deploy machine learning models at scale
Build, train, and deploy machine learning models at scaleBuild, train, and deploy machine learning models at scale
Build, train, and deploy machine learning models at scale
 
NLP Classifier Models & Metrics
NLP Classifier Models & MetricsNLP Classifier Models & Metrics
NLP Classifier Models & Metrics
 
Высокопроизводительный инференс глубоких сетей на GPU с помощью TensorRT / Ма...
Высокопроизводительный инференс глубоких сетей на GPU с помощью TensorRT / Ма...Высокопроизводительный инференс глубоких сетей на GPU с помощью TensorRT / Ма...
Высокопроизводительный инференс глубоких сетей на GPU с помощью TensorRT / Ма...
 
Taming the shrew Power BI
Taming the shrew Power BITaming the shrew Power BI
Taming the shrew Power BI
 
It 242 it242
It 242 it242It 242 it242
It 242 it242
 
What's inside the black box? Using ML to tune and manage Kafka. (Matthew Stum...
What's inside the black box? Using ML to tune and manage Kafka. (Matthew Stum...What's inside the black box? Using ML to tune and manage Kafka. (Matthew Stum...
What's inside the black box? Using ML to tune and manage Kafka. (Matthew Stum...
 
VEGAS: The Missing Matplotlib for Scala/Apache Spark with DB Tsai and Roger M...
VEGAS: The Missing Matplotlib for Scala/Apache Spark with DB Tsai and Roger M...VEGAS: The Missing Matplotlib for Scala/Apache Spark with DB Tsai and Roger M...
VEGAS: The Missing Matplotlib for Scala/Apache Spark with DB Tsai and Roger M...
 
ECET 375 Effective Communication/tutorialrank.com
 ECET 375 Effective Communication/tutorialrank.com ECET 375 Effective Communication/tutorialrank.com
ECET 375 Effective Communication/tutorialrank.com
 
Apex Enterprise Patterns Galore - Boston, MA dev group meeting 062719
Apex Enterprise Patterns Galore - Boston, MA dev group meeting 062719Apex Enterprise Patterns Galore - Boston, MA dev group meeting 062719
Apex Enterprise Patterns Galore - Boston, MA dev group meeting 062719
 
Enabling Scalable Data Science Pipeline with Mlflow at Thermo Fisher Scientific
Enabling Scalable Data Science Pipeline with Mlflow at Thermo Fisher ScientificEnabling Scalable Data Science Pipeline with Mlflow at Thermo Fisher Scientific
Enabling Scalable Data Science Pipeline with Mlflow at Thermo Fisher Scientific
 
Introducing Deep learning with Matlab
Introducing Deep learning with MatlabIntroducing Deep learning with Matlab
Introducing Deep learning with Matlab
 
Machine learning at scale - Webinar By zekeLabs
Machine learning at scale - Webinar By zekeLabsMachine learning at scale - Webinar By zekeLabs
Machine learning at scale - Webinar By zekeLabs
 
The deep learning tour - Q1 2017
The deep learning tour - Q1 2017 The deep learning tour - Q1 2017
The deep learning tour - Q1 2017
 
Internet Scale Architecture
Internet Scale ArchitectureInternet Scale Architecture
Internet Scale Architecture
 
DeepLearning001&ApacheMXNetWithSparkForInference-ACNA2018
DeepLearning001&ApacheMXNetWithSparkForInference-ACNA2018DeepLearning001&ApacheMXNetWithSparkForInference-ACNA2018
DeepLearning001&ApacheMXNetWithSparkForInference-ACNA2018
 
Endeca Performance Considerations
Endeca Performance ConsiderationsEndeca Performance Considerations
Endeca Performance Considerations
 
Petabytes and Nanoseconds
Petabytes and NanosecondsPetabytes and Nanoseconds
Petabytes and Nanoseconds
 

More from zekeLabs Technologies

More from zekeLabs Technologies (20)

Webinar - Build Cloud-native platform using Docker, Kubernetes, Prometheus, I...
Webinar - Build Cloud-native platform using Docker, Kubernetes, Prometheus, I...Webinar - Build Cloud-native platform using Docker, Kubernetes, Prometheus, I...
Webinar - Build Cloud-native platform using Docker, Kubernetes, Prometheus, I...
 
Design Patterns for Pods and Containers in Kubernetes - Webinar by zekeLabs
Design Patterns for Pods and Containers in Kubernetes - Webinar by zekeLabsDesign Patterns for Pods and Containers in Kubernetes - Webinar by zekeLabs
Design Patterns for Pods and Containers in Kubernetes - Webinar by zekeLabs
 
[Webinar] Following the Agile Footprint - zekeLabs
[Webinar] Following the Agile Footprint - zekeLabs[Webinar] Following the Agile Footprint - zekeLabs
[Webinar] Following the Agile Footprint - zekeLabs
 
A curtain-raiser to the container world Docker & Kubernetes
A curtain-raiser to the container world Docker & KubernetesA curtain-raiser to the container world Docker & Kubernetes
A curtain-raiser to the container world Docker & Kubernetes
 
Docker - A curtain raiser to the Container world
Docker - A curtain raiser to the Container worldDocker - A curtain raiser to the Container world
Docker - A curtain raiser to the Container world
 
Serverless and cloud computing
Serverless and cloud computingServerless and cloud computing
Serverless and cloud computing
 
SQL
SQLSQL
SQL
 
02 terraform core concepts
02 terraform core concepts02 terraform core concepts
02 terraform core concepts
 
08 Terraform: Provisioners
08 Terraform: Provisioners08 Terraform: Provisioners
08 Terraform: Provisioners
 
Outlier detection handling
Outlier detection handlingOutlier detection handling
Outlier detection handling
 
Nearest neighbors
Nearest neighborsNearest neighbors
Nearest neighbors
 
Naive bayes
Naive bayesNaive bayes
Naive bayes
 
Master guide to become a data scientist
Master guide to become a data scientist Master guide to become a data scientist
Master guide to become a data scientist
 
Linear regression
Linear regressionLinear regression
Linear regression
 
Linear models of classification
Linear models of classificationLinear models of classification
Linear models of classification
 
Grid search, pipeline, featureunion
Grid search, pipeline, featureunionGrid search, pipeline, featureunion
Grid search, pipeline, featureunion
 
Feature selection
Feature selectionFeature selection
Feature selection
 
Essential NumPy
Essential NumPyEssential NumPy
Essential NumPy
 
Ensemble methods
Ensemble methods Ensemble methods
Ensemble methods
 
Dimentionality reduction
Dimentionality reductionDimentionality reduction
Dimentionality reduction
 

Recently uploaded

Architecting Cloud Native Applications
Architecting Cloud Native ApplicationsArchitecting Cloud Native Applications
Architecting Cloud Native Applications
WSO2
 
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers:  A Deep Dive into Serverless Spatial Data and FMECloud Frontiers:  A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Safe Software
 
Finding Java's Hidden Performance Traps @ DevoxxUK 2024
Finding Java's Hidden Performance Traps @ DevoxxUK 2024Finding Java's Hidden Performance Traps @ DevoxxUK 2024
Finding Java's Hidden Performance Traps @ DevoxxUK 2024
Victor Rentea
 

Recently uploaded (20)

Architecting Cloud Native Applications
Architecting Cloud Native ApplicationsArchitecting Cloud Native Applications
Architecting Cloud Native Applications
 
Introduction to Multilingual Retrieval Augmented Generation (RAG)
Introduction to Multilingual Retrieval Augmented Generation (RAG)Introduction to Multilingual Retrieval Augmented Generation (RAG)
Introduction to Multilingual Retrieval Augmented Generation (RAG)
 
Strategies for Landing an Oracle DBA Job as a Fresher
Strategies for Landing an Oracle DBA Job as a FresherStrategies for Landing an Oracle DBA Job as a Fresher
Strategies for Landing an Oracle DBA Job as a Fresher
 
JohnPollard-hybrid-app-RailsConf2024.pptx
JohnPollard-hybrid-app-RailsConf2024.pptxJohnPollard-hybrid-app-RailsConf2024.pptx
JohnPollard-hybrid-app-RailsConf2024.pptx
 
AI in Action: Real World Use Cases by Anitaraj
AI in Action: Real World Use Cases by AnitarajAI in Action: Real World Use Cases by Anitaraj
AI in Action: Real World Use Cases by Anitaraj
 
How to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerHow to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected Worker
 
"I see eyes in my soup": How Delivery Hero implemented the safety system for ...
"I see eyes in my soup": How Delivery Hero implemented the safety system for ..."I see eyes in my soup": How Delivery Hero implemented the safety system for ...
"I see eyes in my soup": How Delivery Hero implemented the safety system for ...
 
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost SavingRepurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving
 
Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...
Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...
Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...
 
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers:  A Deep Dive into Serverless Spatial Data and FMECloud Frontiers:  A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
 
Finding Java's Hidden Performance Traps @ DevoxxUK 2024
Finding Java's Hidden Performance Traps @ DevoxxUK 2024Finding Java's Hidden Performance Traps @ DevoxxUK 2024
Finding Java's Hidden Performance Traps @ DevoxxUK 2024
 
Corporate and higher education May webinar.pptx
Corporate and higher education May webinar.pptxCorporate and higher education May webinar.pptx
Corporate and higher education May webinar.pptx
 
Introduction to use of FHIR Documents in ABDM
Introduction to use of FHIR Documents in ABDMIntroduction to use of FHIR Documents in ABDM
Introduction to use of FHIR Documents in ABDM
 
[BuildWithAI] Introduction to Gemini.pdf
[BuildWithAI] Introduction to Gemini.pdf[BuildWithAI] Introduction to Gemini.pdf
[BuildWithAI] Introduction to Gemini.pdf
 
DBX First Quarter 2024 Investor Presentation
DBX First Quarter 2024 Investor PresentationDBX First Quarter 2024 Investor Presentation
DBX First Quarter 2024 Investor Presentation
 
Six Myths about Ontologies: The Basics of Formal Ontology
Six Myths about Ontologies: The Basics of Formal OntologySix Myths about Ontologies: The Basics of Formal Ontology
Six Myths about Ontologies: The Basics of Formal Ontology
 
Less Is More: Utilizing Ballerina to Architect a Cloud Data Platform
Less Is More: Utilizing Ballerina to Architect a Cloud Data PlatformLess Is More: Utilizing Ballerina to Architect a Cloud Data Platform
Less Is More: Utilizing Ballerina to Architect a Cloud Data Platform
 
Platformless Horizons for Digital Adaptability
Platformless Horizons for Digital AdaptabilityPlatformless Horizons for Digital Adaptability
Platformless Horizons for Digital Adaptability
 
AWS Community Day CPH - Three problems of Terraform
AWS Community Day CPH - Three problems of TerraformAWS Community Day CPH - Three problems of Terraform
AWS Community Day CPH - Three problems of Terraform
 
TrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
TrustArc Webinar - Unlock the Power of AI-Driven Data DiscoveryTrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
TrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
 

Convolutional Neural Network