SlideShare a Scribd company logo

Artifical Neural Network and its applications

It is a presentation that acquaints you with the latest technology that can recognise patterns i.e neural networks and some of its applications.

1 of 31
Presentedby:SangeetaTiwari
Guidedby:Prof.N.G.Dharashive sir
Agenda
Introduction
What is ANN?
Motivation behind ANN
Comparsion between biological
neuron & Artficial Neuron
Perceptron
Feedforward Neural Network
Backpropagation Algorithm
Types of ANN
Pattern Recognition working
Future of ANN:Deep learning
Deep Learning
Application
Advantages &Disadvantages
Conclusion
Introduction:
Can we code for
such different
patterns
????
Human Vision
What is Artifical Neural Network ?
Neural Network
Neurons Connections
between them
An artificial neuron network (ANN) is a computational i.e.,an
information processing model that is inspired by the way
biological nervous systems(such as the brain) process the
information.
ANNs are considered nonlinear statistical data modeling tools
where the complex relationships between inputs and outputs
are modeled or patterns are found.
Motivation behind Artificial
Neural Network
Comparsion between Biological Neuron & artifical Neuron
Biological Neural Network(BNN) Artifical Neural Network(ANN)
Soma Node
Dendrites Input
Synapse Weights or interconections
Axon Output
Ad

Recommended

Introduction Of Artificial neural network
Introduction Of Artificial neural networkIntroduction Of Artificial neural network
Introduction Of Artificial neural networkNagarajan
 
Artificial neural network
Artificial neural networkArtificial neural network
Artificial neural networkmustafa aadel
 
Neural network & its applications
Neural network & its applications Neural network & its applications
Neural network & its applications Ahmed_hashmi
 
Artificial Neural Network
Artificial Neural NetworkArtificial Neural Network
Artificial Neural NetworkPrakash K
 
Artificial nueral network slideshare
Artificial nueral network slideshareArtificial nueral network slideshare
Artificial nueral network slideshareRed Innovators
 

More Related Content

What's hot

Artificial Neural Network
Artificial Neural NetworkArtificial Neural Network
Artificial Neural NetworkAtul Krishna
 
neural network
neural networkneural network
neural networkSTUDENT
 
Perceptron (neural network)
Perceptron (neural network)Perceptron (neural network)
Perceptron (neural network)EdutechLearners
 
Artificial Neural Network(Artificial intelligence)
Artificial Neural Network(Artificial intelligence)Artificial Neural Network(Artificial intelligence)
Artificial Neural Network(Artificial intelligence)spartacus131211
 
Artificial Intelligence: Artificial Neural Networks
Artificial Intelligence: Artificial Neural NetworksArtificial Intelligence: Artificial Neural Networks
Artificial Intelligence: Artificial Neural NetworksThe Integral Worm
 
Artificial Neural Network | Deep Neural Network Explained | Artificial Neural...
Artificial Neural Network | Deep Neural Network Explained | Artificial Neural...Artificial Neural Network | Deep Neural Network Explained | Artificial Neural...
Artificial Neural Network | Deep Neural Network Explained | Artificial Neural...Simplilearn
 
Intro to Neural Networks
Intro to Neural NetworksIntro to Neural Networks
Intro to Neural NetworksDean Wyatte
 
Artificial Neural Network
Artificial Neural NetworkArtificial Neural Network
Artificial Neural NetworkKnoldus Inc.
 
Neural networks.ppt
Neural networks.pptNeural networks.ppt
Neural networks.pptSrinivashR3
 
What is Deep Learning?
What is Deep Learning?What is Deep Learning?
What is Deep Learning?NVIDIA
 
Artificial Neural Network seminar presentation using ppt.
Artificial Neural Network seminar presentation using ppt.Artificial Neural Network seminar presentation using ppt.
Artificial Neural Network seminar presentation using ppt.Mohd Faiz
 
Unit I & II in Principles of Soft computing
Unit I & II in Principles of Soft computing Unit I & II in Principles of Soft computing
Unit I & II in Principles of Soft computing Sivagowry Shathesh
 
Feedforward neural network
Feedforward neural networkFeedforward neural network
Feedforward neural networkSopheaktra YONG
 

What's hot (20)

neural networks
neural networksneural networks
neural networks
 
Artificial neural network
Artificial neural networkArtificial neural network
Artificial neural network
 
Artificial Neural Network
Artificial Neural NetworkArtificial Neural Network
Artificial Neural Network
 
neural network
neural networkneural network
neural network
 
Perceptron (neural network)
Perceptron (neural network)Perceptron (neural network)
Perceptron (neural network)
 
Artificial neural network
Artificial neural networkArtificial neural network
Artificial neural network
 
Neural Networks
Neural NetworksNeural Networks
Neural Networks
 
Artificial Neural Network(Artificial intelligence)
Artificial Neural Network(Artificial intelligence)Artificial Neural Network(Artificial intelligence)
Artificial Neural Network(Artificial intelligence)
 
Artificial Intelligence: Artificial Neural Networks
Artificial Intelligence: Artificial Neural NetworksArtificial Intelligence: Artificial Neural Networks
Artificial Intelligence: Artificial Neural Networks
 
Artificial Neural Network | Deep Neural Network Explained | Artificial Neural...
Artificial Neural Network | Deep Neural Network Explained | Artificial Neural...Artificial Neural Network | Deep Neural Network Explained | Artificial Neural...
Artificial Neural Network | Deep Neural Network Explained | Artificial Neural...
 
Intro to Neural Networks
Intro to Neural NetworksIntro to Neural Networks
Intro to Neural Networks
 
Artificial Neural Network
Artificial Neural NetworkArtificial Neural Network
Artificial Neural Network
 
Neural networks.ppt
Neural networks.pptNeural networks.ppt
Neural networks.ppt
 
What is Deep Learning?
What is Deep Learning?What is Deep Learning?
What is Deep Learning?
 
Neural networks
Neural networksNeural networks
Neural networks
 
Artificial Neural Network seminar presentation using ppt.
Artificial Neural Network seminar presentation using ppt.Artificial Neural Network seminar presentation using ppt.
Artificial Neural Network seminar presentation using ppt.
 
Neural Networks
Neural NetworksNeural Networks
Neural Networks
 
Unit I & II in Principles of Soft computing
Unit I & II in Principles of Soft computing Unit I & II in Principles of Soft computing
Unit I & II in Principles of Soft computing
 
Feedforward neural network
Feedforward neural networkFeedforward neural network
Feedforward neural network
 
02 Fundamental Concepts of ANN
02 Fundamental Concepts of ANN02 Fundamental Concepts of ANN
02 Fundamental Concepts of ANN
 

Similar to Artifical Neural Network and its applications

Artificial neural networks
Artificial neural networksArtificial neural networks
Artificial neural networksMohamed Arif
 
Artificial Neural Networks-Supervised Learning Models
Artificial Neural Networks-Supervised Learning ModelsArtificial Neural Networks-Supervised Learning Models
Artificial Neural Networks-Supervised Learning ModelsDrBaljitSinghKhehra
 
Artificial Neural Networks-Supervised Learning Models
Artificial Neural Networks-Supervised Learning ModelsArtificial Neural Networks-Supervised Learning Models
Artificial Neural Networks-Supervised Learning ModelsDrBaljitSinghKhehra
 
Artificial Neural Networks-Supervised Learning Models
Artificial Neural Networks-Supervised Learning ModelsArtificial Neural Networks-Supervised Learning Models
Artificial Neural Networks-Supervised Learning ModelsDrBaljitSinghKhehra
 
Neural networking this is about neural networks
Neural networking this is about neural networksNeural networking this is about neural networks
Neural networking this is about neural networksv02527031
 
Web spam classification using supervised artificial neural network algorithms
Web spam classification using supervised artificial neural network algorithmsWeb spam classification using supervised artificial neural network algorithms
Web spam classification using supervised artificial neural network algorithmsaciijournal
 
Dr. Syed Muhammad Ali Tirmizi - Special topics in finance lec 13
Dr. Syed Muhammad Ali Tirmizi - Special topics in finance   lec 13Dr. Syed Muhammad Ali Tirmizi - Special topics in finance   lec 13
Dr. Syed Muhammad Ali Tirmizi - Special topics in finance lec 13Dr. Muhammad Ali Tirmizi., Ph.D.
 
Artificial neural networks
Artificial neural networks Artificial neural networks
Artificial neural networks ShwethaShreeS
 
Web Spam Classification Using Supervised Artificial Neural Network Algorithms
Web Spam Classification Using Supervised Artificial Neural Network AlgorithmsWeb Spam Classification Using Supervised Artificial Neural Network Algorithms
Web Spam Classification Using Supervised Artificial Neural Network Algorithmsaciijournal
 
Artificial neural network
Artificial neural networkArtificial neural network
Artificial neural networksweetysweety8
 
lecture07.ppt
lecture07.pptlecture07.ppt
lecture07.pptbutest
 
Neural-Networks.ppt
Neural-Networks.pptNeural-Networks.ppt
Neural-Networks.pptRINUSATHYAN
 
Nural network ER. Abhishek k. upadhyay
Nural network ER. Abhishek  k. upadhyayNural network ER. Abhishek  k. upadhyay
Nural network ER. Abhishek k. upadhyayabhishek upadhyay
 
Neural network based numerical digits recognization using nnt in matlab
Neural network based numerical digits recognization using nnt in matlabNeural network based numerical digits recognization using nnt in matlab
Neural network based numerical digits recognization using nnt in matlabijcses
 
Soft Computing-173101
Soft Computing-173101Soft Computing-173101
Soft Computing-173101AMIT KUMAR
 
Supervised Learning
Supervised LearningSupervised Learning
Supervised Learningbutest
 

Similar to Artifical Neural Network and its applications (20)

Artificial neural networks
Artificial neural networksArtificial neural networks
Artificial neural networks
 
Neural Network
Neural NetworkNeural Network
Neural Network
 
Artificial Neural Networks-Supervised Learning Models
Artificial Neural Networks-Supervised Learning ModelsArtificial Neural Networks-Supervised Learning Models
Artificial Neural Networks-Supervised Learning Models
 
Artificial Neural Networks-Supervised Learning Models
Artificial Neural Networks-Supervised Learning ModelsArtificial Neural Networks-Supervised Learning Models
Artificial Neural Networks-Supervised Learning Models
 
Artificial Neural Networks-Supervised Learning Models
Artificial Neural Networks-Supervised Learning ModelsArtificial Neural Networks-Supervised Learning Models
Artificial Neural Networks-Supervised Learning Models
 
Neural networking this is about neural networks
Neural networking this is about neural networksNeural networking this is about neural networks
Neural networking this is about neural networks
 
Artificial Neural Networking
Artificial Neural Networking Artificial Neural Networking
Artificial Neural Networking
 
Web spam classification using supervised artificial neural network algorithms
Web spam classification using supervised artificial neural network algorithmsWeb spam classification using supervised artificial neural network algorithms
Web spam classification using supervised artificial neural network algorithms
 
19_Learning.ppt
19_Learning.ppt19_Learning.ppt
19_Learning.ppt
 
Dr. Syed Muhammad Ali Tirmizi - Special topics in finance lec 13
Dr. Syed Muhammad Ali Tirmizi - Special topics in finance   lec 13Dr. Syed Muhammad Ali Tirmizi - Special topics in finance   lec 13
Dr. Syed Muhammad Ali Tirmizi - Special topics in finance lec 13
 
Artificial neural networks
Artificial neural networks Artificial neural networks
Artificial neural networks
 
Web Spam Classification Using Supervised Artificial Neural Network Algorithms
Web Spam Classification Using Supervised Artificial Neural Network AlgorithmsWeb Spam Classification Using Supervised Artificial Neural Network Algorithms
Web Spam Classification Using Supervised Artificial Neural Network Algorithms
 
Artificial neural network
Artificial neural networkArtificial neural network
Artificial neural network
 
Artifical Neural Network
Artifical Neural NetworkArtifical Neural Network
Artifical Neural Network
 
lecture07.ppt
lecture07.pptlecture07.ppt
lecture07.ppt
 
Neural-Networks.ppt
Neural-Networks.pptNeural-Networks.ppt
Neural-Networks.ppt
 
Nural network ER. Abhishek k. upadhyay
Nural network ER. Abhishek  k. upadhyayNural network ER. Abhishek  k. upadhyay
Nural network ER. Abhishek k. upadhyay
 
Neural network based numerical digits recognization using nnt in matlab
Neural network based numerical digits recognization using nnt in matlabNeural network based numerical digits recognization using nnt in matlab
Neural network based numerical digits recognization using nnt in matlab
 
Soft Computing-173101
Soft Computing-173101Soft Computing-173101
Soft Computing-173101
 
Supervised Learning
Supervised LearningSupervised Learning
Supervised Learning
 

Recently uploaded

Progress Report: Ministry of IT under Dr. Umar Saif Aug 23-Feb'24
Progress Report: Ministry of IT under Dr. Umar Saif Aug 23-Feb'24Progress Report: Ministry of IT under Dr. Umar Saif Aug 23-Feb'24
Progress Report: Ministry of IT under Dr. Umar Saif Aug 23-Feb'24Umar Saif
 
HBR SERIES METAL HOUSED RESISTORS POWER ELECTRICAL ABSORBS HIGH CURRENT DURIN...
HBR SERIES METAL HOUSED RESISTORS POWER ELECTRICAL ABSORBS HIGH CURRENT DURIN...HBR SERIES METAL HOUSED RESISTORS POWER ELECTRICAL ABSORBS HIGH CURRENT DURIN...
HBR SERIES METAL HOUSED RESISTORS POWER ELECTRICAL ABSORBS HIGH CURRENT DURIN...htrindia
 
AI Act & Standardization: UNINFO involvement
AI Act & Standardization: UNINFO involvementAI Act & Standardization: UNINFO involvement
AI Act & Standardization: UNINFO involvementMimmo Squillace
 
Harnessing the Power of GenAI for Exceptional Product Outcomes by Booking.com...
Harnessing the Power of GenAI for Exceptional Product Outcomes by Booking.com...Harnessing the Power of GenAI for Exceptional Product Outcomes by Booking.com...
Harnessing the Power of GenAI for Exceptional Product Outcomes by Booking.com...Product School
 
Building Products That Think- Bhaskaran Srinivasan & Ashish Gupta
Building Products That Think- Bhaskaran Srinivasan & Ashish GuptaBuilding Products That Think- Bhaskaran Srinivasan & Ashish Gupta
Building Products That Think- Bhaskaran Srinivasan & Ashish GuptaISPMAIndia
 
ASTRAZENECA. Knowledge Graphs Powering a Fast-moving Global Life Sciences Org...
ASTRAZENECA. Knowledge Graphs Powering a Fast-moving Global Life Sciences Org...ASTRAZENECA. Knowledge Graphs Powering a Fast-moving Global Life Sciences Org...
ASTRAZENECA. Knowledge Graphs Powering a Fast-moving Global Life Sciences Org...Neo4j
 
AI MODELS USAGE IN FINTECH PRODUCTS: PM APPROACH & BEST PRACTICES by Kasthuri...
AI MODELS USAGE IN FINTECH PRODUCTS: PM APPROACH & BEST PRACTICES by Kasthuri...AI MODELS USAGE IN FINTECH PRODUCTS: PM APPROACH & BEST PRACTICES by Kasthuri...
AI MODELS USAGE IN FINTECH PRODUCTS: PM APPROACH & BEST PRACTICES by Kasthuri...ISPMAIndia
 
Battle of React State Managers in frontend applications
Battle of React State Managers in frontend applicationsBattle of React State Managers in frontend applications
Battle of React State Managers in frontend applicationsEvangelia Mitsopoulou
 
LF Energy Webinar: Introduction to TROLIE
LF Energy Webinar: Introduction to TROLIELF Energy Webinar: Introduction to TROLIE
LF Energy Webinar: Introduction to TROLIEDanBrown980551
 
Campotel: Telecommunications Infra and Network Builder - Company Profile
Campotel: Telecommunications Infra and Network Builder - Company ProfileCampotel: Telecommunications Infra and Network Builder - Company Profile
Campotel: Telecommunications Infra and Network Builder - Company ProfileCampotelPhilippines
 
My sample product research idea for you!
My sample product research idea for you!My sample product research idea for you!
My sample product research idea for you!KivenRaySarsaba
 
Dynamical systems simulation in Python for science and engineering
Dynamical systems simulation in Python for science and engineeringDynamical systems simulation in Python for science and engineering
Dynamical systems simulation in Python for science and engineeringMassimo Talia
 
"Testing of Helm Charts or There and Back Again", Yura Rochniak
"Testing of Helm Charts or There and Back Again", Yura Rochniak"Testing of Helm Charts or There and Back Again", Yura Rochniak
"Testing of Helm Charts or There and Back Again", Yura RochniakFwdays
 
Automation Ops Series: Session 1 - Introduction and setup DevOps for UiPath p...
Automation Ops Series: Session 1 - Introduction and setup DevOps for UiPath p...Automation Ops Series: Session 1 - Introduction and setup DevOps for UiPath p...
Automation Ops Series: Session 1 - Introduction and setup DevOps for UiPath p...DianaGray10
 
21ST CENTURY LITERACY FROM TRADITIONAL TO MODERN
21ST CENTURY LITERACY FROM TRADITIONAL TO MODERN21ST CENTURY LITERACY FROM TRADITIONAL TO MODERN
21ST CENTURY LITERACY FROM TRADITIONAL TO MODERNRonnelBaroc
 
Synergy in Leadership and Product Excellence: A Blueprint for Growth by CPO, ...
Synergy in Leadership and Product Excellence: A Blueprint for Growth by CPO, ...Synergy in Leadership and Product Excellence: A Blueprint for Growth by CPO, ...
Synergy in Leadership and Product Excellence: A Blueprint for Growth by CPO, ...Product School
 
Apex Replay Debugger and Salesforce Platform Events.pptx
Apex Replay Debugger and Salesforce Platform Events.pptxApex Replay Debugger and Salesforce Platform Events.pptx
Apex Replay Debugger and Salesforce Platform Events.pptxmohayyudin7826
 
How we think about an advisor tech stack
How we think about an advisor tech stackHow we think about an advisor tech stack
How we think about an advisor tech stackSummit
 
Dev Dives: Leverage APIs and Gen AI to power automations for RPA and software...
Dev Dives: Leverage APIs and Gen AI to power automations for RPA and software...Dev Dives: Leverage APIs and Gen AI to power automations for RPA and software...
Dev Dives: Leverage APIs and Gen AI to power automations for RPA and software...UiPathCommunity
 
"The Transformative Power of AI and Open Challenges" by Dr. Manish Gupta, Google
"The Transformative Power of AI and Open Challenges" by Dr. Manish Gupta, Google"The Transformative Power of AI and Open Challenges" by Dr. Manish Gupta, Google
"The Transformative Power of AI and Open Challenges" by Dr. Manish Gupta, GoogleISPMAIndia
 

Recently uploaded (20)

Progress Report: Ministry of IT under Dr. Umar Saif Aug 23-Feb'24
Progress Report: Ministry of IT under Dr. Umar Saif Aug 23-Feb'24Progress Report: Ministry of IT under Dr. Umar Saif Aug 23-Feb'24
Progress Report: Ministry of IT under Dr. Umar Saif Aug 23-Feb'24
 
HBR SERIES METAL HOUSED RESISTORS POWER ELECTRICAL ABSORBS HIGH CURRENT DURIN...
HBR SERIES METAL HOUSED RESISTORS POWER ELECTRICAL ABSORBS HIGH CURRENT DURIN...HBR SERIES METAL HOUSED RESISTORS POWER ELECTRICAL ABSORBS HIGH CURRENT DURIN...
HBR SERIES METAL HOUSED RESISTORS POWER ELECTRICAL ABSORBS HIGH CURRENT DURIN...
 
AI Act & Standardization: UNINFO involvement
AI Act & Standardization: UNINFO involvementAI Act & Standardization: UNINFO involvement
AI Act & Standardization: UNINFO involvement
 
Harnessing the Power of GenAI for Exceptional Product Outcomes by Booking.com...
Harnessing the Power of GenAI for Exceptional Product Outcomes by Booking.com...Harnessing the Power of GenAI for Exceptional Product Outcomes by Booking.com...
Harnessing the Power of GenAI for Exceptional Product Outcomes by Booking.com...
 
Building Products That Think- Bhaskaran Srinivasan & Ashish Gupta
Building Products That Think- Bhaskaran Srinivasan & Ashish GuptaBuilding Products That Think- Bhaskaran Srinivasan & Ashish Gupta
Building Products That Think- Bhaskaran Srinivasan & Ashish Gupta
 
ASTRAZENECA. Knowledge Graphs Powering a Fast-moving Global Life Sciences Org...
ASTRAZENECA. Knowledge Graphs Powering a Fast-moving Global Life Sciences Org...ASTRAZENECA. Knowledge Graphs Powering a Fast-moving Global Life Sciences Org...
ASTRAZENECA. Knowledge Graphs Powering a Fast-moving Global Life Sciences Org...
 
AI MODELS USAGE IN FINTECH PRODUCTS: PM APPROACH & BEST PRACTICES by Kasthuri...
AI MODELS USAGE IN FINTECH PRODUCTS: PM APPROACH & BEST PRACTICES by Kasthuri...AI MODELS USAGE IN FINTECH PRODUCTS: PM APPROACH & BEST PRACTICES by Kasthuri...
AI MODELS USAGE IN FINTECH PRODUCTS: PM APPROACH & BEST PRACTICES by Kasthuri...
 
Battle of React State Managers in frontend applications
Battle of React State Managers in frontend applicationsBattle of React State Managers in frontend applications
Battle of React State Managers in frontend applications
 
LF Energy Webinar: Introduction to TROLIE
LF Energy Webinar: Introduction to TROLIELF Energy Webinar: Introduction to TROLIE
LF Energy Webinar: Introduction to TROLIE
 
Campotel: Telecommunications Infra and Network Builder - Company Profile
Campotel: Telecommunications Infra and Network Builder - Company ProfileCampotel: Telecommunications Infra and Network Builder - Company Profile
Campotel: Telecommunications Infra and Network Builder - Company Profile
 
My sample product research idea for you!
My sample product research idea for you!My sample product research idea for you!
My sample product research idea for you!
 
Dynamical systems simulation in Python for science and engineering
Dynamical systems simulation in Python for science and engineeringDynamical systems simulation in Python for science and engineering
Dynamical systems simulation in Python for science and engineering
 
"Testing of Helm Charts or There and Back Again", Yura Rochniak
"Testing of Helm Charts or There and Back Again", Yura Rochniak"Testing of Helm Charts or There and Back Again", Yura Rochniak
"Testing of Helm Charts or There and Back Again", Yura Rochniak
 
Automation Ops Series: Session 1 - Introduction and setup DevOps for UiPath p...
Automation Ops Series: Session 1 - Introduction and setup DevOps for UiPath p...Automation Ops Series: Session 1 - Introduction and setup DevOps for UiPath p...
Automation Ops Series: Session 1 - Introduction and setup DevOps for UiPath p...
 
21ST CENTURY LITERACY FROM TRADITIONAL TO MODERN
21ST CENTURY LITERACY FROM TRADITIONAL TO MODERN21ST CENTURY LITERACY FROM TRADITIONAL TO MODERN
21ST CENTURY LITERACY FROM TRADITIONAL TO MODERN
 
Synergy in Leadership and Product Excellence: A Blueprint for Growth by CPO, ...
Synergy in Leadership and Product Excellence: A Blueprint for Growth by CPO, ...Synergy in Leadership and Product Excellence: A Blueprint for Growth by CPO, ...
Synergy in Leadership and Product Excellence: A Blueprint for Growth by CPO, ...
 
Apex Replay Debugger and Salesforce Platform Events.pptx
Apex Replay Debugger and Salesforce Platform Events.pptxApex Replay Debugger and Salesforce Platform Events.pptx
Apex Replay Debugger and Salesforce Platform Events.pptx
 
How we think about an advisor tech stack
How we think about an advisor tech stackHow we think about an advisor tech stack
How we think about an advisor tech stack
 
Dev Dives: Leverage APIs and Gen AI to power automations for RPA and software...
Dev Dives: Leverage APIs and Gen AI to power automations for RPA and software...Dev Dives: Leverage APIs and Gen AI to power automations for RPA and software...
Dev Dives: Leverage APIs and Gen AI to power automations for RPA and software...
 
"The Transformative Power of AI and Open Challenges" by Dr. Manish Gupta, Google
"The Transformative Power of AI and Open Challenges" by Dr. Manish Gupta, Google"The Transformative Power of AI and Open Challenges" by Dr. Manish Gupta, Google
"The Transformative Power of AI and Open Challenges" by Dr. Manish Gupta, Google
 

Artifical Neural Network and its applications

  • 2. Agenda Introduction What is ANN? Motivation behind ANN Comparsion between biological neuron & Artficial Neuron Perceptron Feedforward Neural Network Backpropagation Algorithm Types of ANN Pattern Recognition working Future of ANN:Deep learning Deep Learning Application Advantages &Disadvantages Conclusion
  • 3. Introduction: Can we code for such different patterns ???? Human Vision
  • 4. What is Artifical Neural Network ? Neural Network Neurons Connections between them An artificial neuron network (ANN) is a computational i.e.,an information processing model that is inspired by the way biological nervous systems(such as the brain) process the information. ANNs are considered nonlinear statistical data modeling tools where the complex relationships between inputs and outputs are modeled or patterns are found.
  • 6. Comparsion between Biological Neuron & artifical Neuron Biological Neural Network(BNN) Artifical Neural Network(ANN) Soma Node Dendrites Input Synapse Weights or interconections Axon Output
  • 7. Perceptron A perceptron is a most fundamental unit of neural network(Artificial Neurons) that does certain computations to detect feature or business intelligence in the input data. The perceptron is a linear model for supervised learning used for Binary Classification. Perceptron consist of 4 parts: i. input ii. weights & bias iii. summation function iv. Activation Function v. Output Perceptron Learning Rule Perceptron learns the weights for the input signals in order to draw a linear decision boundary Two types of perceptron: a) Single Layer Perceptron b) Multi-layer perceptron
  • 8. Activation Functions Sigmoid Fuction Step function ReLu Function Tanh function
  • 10. Feed-Forward Neural Network: It is also known as Multi-layered Neural Network Information only travels forward in the neural network, through the input nodes then through the hidden layers(1 or more)and finally through the output nodes. Capable of handling the non-linearly separable data Layer present between input and output layer are called HIDDEN Layers.
  • 11. Backpropagation Algorithm: Backpropagation, an abbreviation for ”Backward propagation of errors” is common method of training ANN. The method calculates the gradient of a loss function w.r.t all the weights in the network. The gradient is fed to the optimizer in order to minimize the loss function. The Backpropagation algorithm looks for the minimum value of the error function in weight space using a technique called the delta rule or gradient descent. The backpropagation learning algorithm can be divided into two phases i. Forward Propagation(propagate) ii. Backward Propagation(update weights)
  • 12. Algorithm Step 1:Initializtion Randomly set all the weights threshold levels of n/w. Step 2: Forward computing: compute the hidden vector h on hidden layer zj =φ(∑i vijxi) compute the o/p vector y on o/p layer yk= φ(∑i wjkzj) Step 3: Calculate the Total Error Check the difference between y(actual o/p) and ŷ (predicted o/p) E=1/2(y-ŷ)2 Step 4: Backward computing Finding the derivative of the error Calculating the partial derivative of the error w.r.t weight Update the weights: ∆ wj = - ɳ ∂E ∂wij wj=wj+ ∆ wj
  • 13. Example: Consider the below table Input Desired output 0 0 1 2 2 4 Input Desired O/p Model O/p(w=3) 0 0 0 1 2 3 2 4 6 Input Desire d o/p Model o/p (w=3) Square Error (y-ŷ)2 Model o/p (W=4) Square Error (w=4) 0 0 0 0 0 0 1 2 3 1 4 4 2 4 6 4 8 16 Input Desired o/p Model o/p (w=3) Square Error (y-ŷ)2 Model o/p (W=2) Square Error (w=2) 0 0 0 0 0 0 1 2 3 1 2 0 2 4 6 4 4 0
  • 14. Use Case : Classify leaf images as either Diseased or Non-Diseased
  • 15. 1.Compute the weights and according to that check the probability of desired output
  • 16. If the predicted output is wrong then by using Backpropagation learning again train the neural net Update the weights by propagating backward
  • 17. After updating the weights again forward compute the ouptut i.e.,hence we classified the Diseased and Non-diseased leaf
  • 19. Use CASE: Pattern Recognition Data Acquistion &pre-processing Segmentation Feature Extraction Classification & Recognition
  • 24. Future of ANN: Deep Learning Artificial Intelligence ,Machine Learning and Deep Learning are interconnected fields Machine learning and Deep learning aids AI by providing a set of algorithms and Neural Net to solve a data driven problems
  • 25. Deep Learning Deep learning is a subset of machine learning in artificial intelligence (AI) that has networks capable of learning unsupervised from data that is unstructured or unlabeled
  • 30. Advantages & Disadvantages of ANN Parallel processing ability Information is stored on an entire network ,not just a database Fault tolerance means corruption of one or more cells of the ANN will not stop the generation of output Gradual Corruption means the network will slowly degrade over time, instead of a problem destroying the network instantly The lack of rules for determining the proper network structure The requirement of processors with parallel processing abilities makes ANN hardware dependent The lack of explanation behind probing solutions Generation of lack of trust in the network Advantages Disadvantages