SlideShare a Scribd company logo

Digit recognition

B
btandale

Handwritten digit recognition uses convolutional neural networks to recognize handwritten digits from images. The MNIST dataset, containing 60,000 training images and 10,000 test images of handwritten digits, is used to train models. Convolutional neural network architectures for this task typically involve convolutional layers to extract features, followed by flatten and dense layers to classify digits. When trained on the MNIST dataset, convolutional neural networks can accurately recognize handwritten digits in test images.

1 of 12
Download to read offline
Handwritten digit
recognition
Bhushan S. Tandale
Eckovation
MAIN GOAL & APPLICATIONS
• Handwritten Digit Recognition is used to recognize the Digits
which are written by
hand.
• A handwritten digit recognition system is used to visualize
artificial neural networks.
• It is already widely used in the automatic processing of bank
cheques, postal addresses, in mobile phones etc
INTRODUCTION
• Scientists believe that the most intelligent device is the Human
Brain.
• There is no computer which can beat the level of efficiency of
human brain. These Inefficiencies
of the computer has lead to evolution of “Artificial Neural Network”.
• They differ from conventional systems in the sense that rather
than being programmed these
system learn to recognize pattern.
NEURAL NETWORK
Artificial neural networks, usually called neural networks (NNs), are
interconnected systems composed of many simple processing elements
(neurons) operating in parallel whose function is determined by
1)Network Structure
2)Connection Strengths
3)The Processing performed at Computing elements or nodes.
A NEURAL CELL OF THE HUMAN
THE MNIST DATABASE
• Training of the network is done by a dataset named
MNIST dataset.
• MNIST dataset has a training set of 60,000 examples,
and a test set of 10,000 examples.
• All the images in the dataset are of 28x28 pixels.

Recommended

Handwritten Digit Recognition(Convolutional Neural Network) PPT
Handwritten Digit Recognition(Convolutional Neural Network) PPTHandwritten Digit Recognition(Convolutional Neural Network) PPT
Handwritten Digit Recognition(Convolutional Neural Network) PPTRishabhTyagi48
 
HANDWRITTEN DIGIT RECOGNITIONppt1.pptx
HANDWRITTEN DIGIT RECOGNITIONppt1.pptxHANDWRITTEN DIGIT RECOGNITIONppt1.pptx
HANDWRITTEN DIGIT RECOGNITIONppt1.pptxALLADURGAUMESHCHANDR
 
Image classification using cnn
Image classification using cnnImage classification using cnn
Image classification using cnnSumeraHangi
 
Convolution Neural Network (CNN)
Convolution Neural Network (CNN)Convolution Neural Network (CNN)
Convolution Neural Network (CNN)Basit Rafiq
 
Convolutional Neural Network
Convolutional Neural NetworkConvolutional Neural Network
Convolutional Neural NetworkVignesh Suresh
 
Convolution Neural Network (CNN)
Convolution Neural Network (CNN)Convolution Neural Network (CNN)
Convolution Neural Network (CNN)Suraj Aavula
 
Convolutional Neural Network Models - Deep Learning
Convolutional Neural Network Models - Deep LearningConvolutional Neural Network Models - Deep Learning
Convolutional Neural Network Models - Deep LearningMohamed Loey
 

More Related Content

What's hot

Back propagation
Back propagationBack propagation
Back propagationNagarajan
 
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
 
Deep Learning - Convolutional Neural Networks
Deep Learning - Convolutional Neural NetworksDeep Learning - Convolutional Neural Networks
Deep Learning - Convolutional Neural NetworksChristian Perone
 
Understanding Convolutional Neural Networks
Understanding Convolutional Neural NetworksUnderstanding Convolutional Neural Networks
Understanding Convolutional Neural NetworksJeremy Nixon
 
Handwritten character recognition using artificial neural network
Handwritten character recognition using artificial neural networkHandwritten character recognition using artificial neural network
Handwritten character recognition using artificial neural networkHarshana Madusanka Jayamaha
 
Hand Written Character Recognition Using Neural Networks
Hand Written Character Recognition Using Neural Networks Hand Written Character Recognition Using Neural Networks
Hand Written Character Recognition Using Neural Networks Chiranjeevi Adi
 
Handwritten Digit Recognition and performance of various modelsation[autosaved]
Handwritten Digit Recognition and performance of various modelsation[autosaved]Handwritten Digit Recognition and performance of various modelsation[autosaved]
Handwritten Digit Recognition and performance of various modelsation[autosaved]SubhradeepMaji
 
Introduction to CNN
Introduction to CNNIntroduction to CNN
Introduction to CNNShuai Zhang
 
Handwritten Digit Recognition
Handwritten Digit RecognitionHandwritten Digit Recognition
Handwritten Digit Recognitionijtsrd
 
Convolutional neural network
Convolutional neural networkConvolutional neural network
Convolutional neural networkMojammilHusain
 
Image classification with Deep Neural Networks
Image classification with Deep Neural NetworksImage classification with Deep Neural Networks
Image classification with Deep Neural NetworksYogendra Tamang
 
Machine Learning - Convolutional Neural Network
Machine Learning - Convolutional Neural NetworkMachine Learning - Convolutional Neural Network
Machine Learning - Convolutional Neural NetworkRichard Kuo
 
Convolutional neural network
Convolutional neural network Convolutional neural network
Convolutional neural network Yan Xu
 
Digit recognition using mnist database
Digit recognition using mnist databaseDigit recognition using mnist database
Digit recognition using mnist databasebtandale
 
Deep neural networks
Deep neural networksDeep neural networks
Deep neural networksSi Haem
 
Facial Emotion Recognition: A Deep Learning approach
Facial Emotion Recognition: A Deep Learning approachFacial Emotion Recognition: A Deep Learning approach
Facial Emotion Recognition: A Deep Learning approachAshwinRachha
 
Convolutional Neural Network - CNN | How CNN Works | Deep Learning Course | S...
Convolutional Neural Network - CNN | How CNN Works | Deep Learning Course | S...Convolutional Neural Network - CNN | How CNN Works | Deep Learning Course | S...
Convolutional Neural Network - CNN | How CNN Works | Deep Learning Course | S...Simplilearn
 
Perceptron (neural network)
Perceptron (neural network)Perceptron (neural network)
Perceptron (neural network)EdutechLearners
 
Image Segmentation Using Deep Learning : A survey
Image Segmentation Using Deep Learning : A surveyImage Segmentation Using Deep Learning : A survey
Image Segmentation Using Deep Learning : A surveyNUPUR YADAV
 

What's hot (20)

Back propagation
Back propagationBack propagation
Back propagation
 
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.
 
Deep Learning - Convolutional Neural Networks
Deep Learning - Convolutional Neural NetworksDeep Learning - Convolutional Neural Networks
Deep Learning - Convolutional Neural Networks
 
Understanding Convolutional Neural Networks
Understanding Convolutional Neural NetworksUnderstanding Convolutional Neural Networks
Understanding Convolutional Neural Networks
 
Handwritten character recognition using artificial neural network
Handwritten character recognition using artificial neural networkHandwritten character recognition using artificial neural network
Handwritten character recognition using artificial neural network
 
Hand Written Character Recognition Using Neural Networks
Hand Written Character Recognition Using Neural Networks Hand Written Character Recognition Using Neural Networks
Hand Written Character Recognition Using Neural Networks
 
Handwritten Digit Recognition and performance of various modelsation[autosaved]
Handwritten Digit Recognition and performance of various modelsation[autosaved]Handwritten Digit Recognition and performance of various modelsation[autosaved]
Handwritten Digit Recognition and performance of various modelsation[autosaved]
 
Introduction to CNN
Introduction to CNNIntroduction to CNN
Introduction to CNN
 
Handwritten Digit Recognition
Handwritten Digit RecognitionHandwritten Digit Recognition
Handwritten Digit Recognition
 
Convolutional neural network
Convolutional neural networkConvolutional neural network
Convolutional neural network
 
Image classification with Deep Neural Networks
Image classification with Deep Neural NetworksImage classification with Deep Neural Networks
Image classification with Deep Neural Networks
 
Machine Learning - Convolutional Neural Network
Machine Learning - Convolutional Neural NetworkMachine Learning - Convolutional Neural Network
Machine Learning - Convolutional Neural Network
 
Convolutional neural network
Convolutional neural network Convolutional neural network
Convolutional neural network
 
Digit recognition using mnist database
Digit recognition using mnist databaseDigit recognition using mnist database
Digit recognition using mnist database
 
Deep neural networks
Deep neural networksDeep neural networks
Deep neural networks
 
Facial Emotion Recognition: A Deep Learning approach
Facial Emotion Recognition: A Deep Learning approachFacial Emotion Recognition: A Deep Learning approach
Facial Emotion Recognition: A Deep Learning approach
 
Convolutional Neural Network - CNN | How CNN Works | Deep Learning Course | S...
Convolutional Neural Network - CNN | How CNN Works | Deep Learning Course | S...Convolutional Neural Network - CNN | How CNN Works | Deep Learning Course | S...
Convolutional Neural Network - CNN | How CNN Works | Deep Learning Course | S...
 
Perceptron (neural network)
Perceptron (neural network)Perceptron (neural network)
Perceptron (neural network)
 
Image Segmentation Using Deep Learning : A survey
Image Segmentation Using Deep Learning : A surveyImage Segmentation Using Deep Learning : A survey
Image Segmentation Using Deep Learning : A survey
 
Cnn method
Cnn methodCnn method
Cnn method
 

Similar to Digit recognition

neuralnetwork.pptx
neuralnetwork.pptxneuralnetwork.pptx
neuralnetwork.pptxSherinRappai
 
Teach a neural network to read handwriting
Teach a neural network to read handwritingTeach a neural network to read handwriting
Teach a neural network to read handwritingVipul Kaushal
 
Artificial Neural Network
Artificial Neural NetworkArtificial Neural Network
Artificial Neural NetworkManasa Mona
 
Build a simple image recognition system with tensor flow
Build a simple image recognition system with tensor flowBuild a simple image recognition system with tensor flow
Build a simple image recognition system with tensor flowDebasisMohanty37
 
A Survey of Convolutional Neural Networks
A Survey of Convolutional Neural NetworksA Survey of Convolutional Neural Networks
A Survey of Convolutional Neural NetworksRimzim Thube
 
Basics of Artificial Neural Network
Basics of Artificial Neural Network Basics of Artificial Neural Network
Basics of Artificial Neural Network Subham Preetam
 
Artificial Neural Network for hand Gesture recognition
Artificial Neural Network for hand Gesture recognitionArtificial Neural Network for hand Gesture recognition
Artificial Neural Network for hand Gesture recognitionVigneshwer Dhinakaran
 
Facial Emotion Detection on Children's Emotional Face
Facial Emotion Detection on Children's Emotional FaceFacial Emotion Detection on Children's Emotional Face
Facial Emotion Detection on Children's Emotional FaceTakrim Ul Islam Laskar
 
Artificial Neural Network in Medical Diagnosis
Artificial Neural Network in Medical DiagnosisArtificial Neural Network in Medical Diagnosis
Artificial Neural Network in Medical DiagnosisAdityendra Kumar Singh
 
Deep Learning Training at Intel
Deep Learning Training at IntelDeep Learning Training at Intel
Deep Learning Training at IntelAtul Vaish
 

Similar to Digit recognition (20)

Computer Design Concepts for Machine Learning
Computer Design Concepts for Machine LearningComputer Design Concepts for Machine Learning
Computer Design Concepts for Machine Learning
 
neuralnetwork.pptx
neuralnetwork.pptxneuralnetwork.pptx
neuralnetwork.pptx
 
neuralnetwork.pptx
neuralnetwork.pptxneuralnetwork.pptx
neuralnetwork.pptx
 
Teach a neural network to read handwriting
Teach a neural network to read handwritingTeach a neural network to read handwriting
Teach a neural network to read handwriting
 
Artificial Neural Network
Artificial Neural NetworkArtificial Neural Network
Artificial Neural Network
 
neuralnetwork.pptx
neuralnetwork.pptxneuralnetwork.pptx
neuralnetwork.pptx
 
Build a simple image recognition system with tensor flow
Build a simple image recognition system with tensor flowBuild a simple image recognition system with tensor flow
Build a simple image recognition system with tensor flow
 
A Survey of Convolutional Neural Networks
A Survey of Convolutional Neural NetworksA Survey of Convolutional Neural Networks
A Survey of Convolutional Neural Networks
 
ANN - UNIT 1.pptx
ANN - UNIT 1.pptxANN - UNIT 1.pptx
ANN - UNIT 1.pptx
 
02 Fundamental Concepts of ANN
02 Fundamental Concepts of ANN02 Fundamental Concepts of ANN
02 Fundamental Concepts of ANN
 
Cnn
CnnCnn
Cnn
 
Neural Networks
Neural NetworksNeural Networks
Neural Networks
 
Basics of Artificial Neural Network
Basics of Artificial Neural Network Basics of Artificial Neural Network
Basics of Artificial Neural Network
 
Artificial Neural Network for hand Gesture recognition
Artificial Neural Network for hand Gesture recognitionArtificial Neural Network for hand Gesture recognition
Artificial Neural Network for hand Gesture recognition
 
Facial Emotion Detection on Children's Emotional Face
Facial Emotion Detection on Children's Emotional FaceFacial Emotion Detection on Children's Emotional Face
Facial Emotion Detection on Children's Emotional Face
 
Artificial Neural Network.pptx
Artificial Neural Network.pptxArtificial Neural Network.pptx
Artificial Neural Network.pptx
 
Artificial Neural Network in Medical Diagnosis
Artificial Neural Network in Medical DiagnosisArtificial Neural Network in Medical Diagnosis
Artificial Neural Network in Medical Diagnosis
 
BATCH.pptx
BATCH.pptxBATCH.pptx
BATCH.pptx
 
Deep Learning Training at Intel
Deep Learning Training at IntelDeep Learning Training at Intel
Deep Learning Training at Intel
 
Neural network
Neural networkNeural network
Neural network
 

Recently uploaded

Paper Machine Troubleshooting manual for paper makers
Paper Machine Troubleshooting manual for paper makersPaper Machine Troubleshooting manual for paper makers
Paper Machine Troubleshooting manual for paper makersNoman khan
 
【文凭定制】坎特伯雷大学毕业证学历认证
【文凭定制】坎特伯雷大学毕业证学历认证【文凭定制】坎特伯雷大学毕业证学历认证
【文凭定制】坎特伯雷大学毕业证学历认证muvgemo
 
21 SCHEME_21EC53_VTU_MODULE-4_COMPUTER COMMUNCATION NETWORK.pdf
21 SCHEME_21EC53_VTU_MODULE-4_COMPUTER COMMUNCATION NETWORK.pdf21 SCHEME_21EC53_VTU_MODULE-4_COMPUTER COMMUNCATION NETWORK.pdf
21 SCHEME_21EC53_VTU_MODULE-4_COMPUTER COMMUNCATION NETWORK.pdfDr. Shivashankar
 
Center Enamel is the leading fire water tanks manufacturer in China.docx
Center Enamel is the leading fire water tanks manufacturer in China.docxCenter Enamel is the leading fire water tanks manufacturer in China.docx
Center Enamel is the leading fire water tanks manufacturer in China.docxsjzzztc
 
HB Self-Body characteristics UHV understanding
HB Self-Body characteristics UHV understandingHB Self-Body characteristics UHV understanding
HB Self-Body characteristics UHV understandingLeoRaju4
 
B111_FTS_2011.06.01 Fuel Tank Safety.pdf
B111_FTS_2011.06.01 Fuel Tank Safety.pdfB111_FTS_2011.06.01 Fuel Tank Safety.pdf
B111_FTS_2011.06.01 Fuel Tank Safety.pdfKhoiTruong19
 
Lesson2 Stoichiometry and mass balance.pdf
Lesson2 Stoichiometry and mass balance.pdfLesson2 Stoichiometry and mass balance.pdf
Lesson2 Stoichiometry and mass balance.pdff1002753214
 
Amplitude modulation and Demodulation Techniques
Amplitude modulation and Demodulation TechniquesAmplitude modulation and Demodulation Techniques
Amplitude modulation and Demodulation TechniquesRich171473
 
CCW332-DIGITAL MARKETING QUESTION BANK WITH ANSWERS
CCW332-DIGITAL MARKETING QUESTION BANK WITH ANSWERSCCW332-DIGITAL MARKETING QUESTION BANK WITH ANSWERS
CCW332-DIGITAL MARKETING QUESTION BANK WITH ANSWERSTamil949112
 
Introduction to Machine Learning Unit-1 Notes for II-II Mechanical Engineerin...
Introduction to Machine Learning Unit-1 Notes for II-II Mechanical Engineerin...Introduction to Machine Learning Unit-1 Notes for II-II Mechanical Engineerin...
Introduction to Machine Learning Unit-1 Notes for II-II Mechanical Engineerin...C Sai Kiran
 
The Crystal London Arsitektur Hijau Dinda
The Crystal London Arsitektur Hijau DindaThe Crystal London Arsitektur Hijau Dinda
The Crystal London Arsitektur Hijau Dindadindapebriani27
 
fat and edible oil processsing.ppt, refining
fat and edible oil processsing.ppt, refiningfat and edible oil processsing.ppt, refining
fat and edible oil processsing.ppt, refiningteddymebratie
 
CHAPTER 1_ HTML and CSS Introduction Module
CHAPTER 1_ HTML and CSS Introduction ModuleCHAPTER 1_ HTML and CSS Introduction Module
CHAPTER 1_ HTML and CSS Introduction Modulessusera4f8281
 
Forged Fitting Socket Welding Standard- ASME-B16.11-2001.pdf
Forged Fitting Socket Welding Standard- ASME-B16.11-2001.pdfForged Fitting Socket Welding Standard- ASME-B16.11-2001.pdf
Forged Fitting Socket Welding Standard- ASME-B16.11-2001.pdfVikasKumar11936
 
Microservices: Benefits, drawbacks and are they for me?
Microservices: Benefits, drawbacks and are they for me?Microservices: Benefits, drawbacks and are they for me?
Microservices: Benefits, drawbacks and are they for me?Marian Marinov
 
Chase Commerce Center History Nordberg manufacturing Rexnord Global power com...
Chase Commerce Center History Nordberg manufacturing Rexnord Global power com...Chase Commerce Center History Nordberg manufacturing Rexnord Global power com...
Chase Commerce Center History Nordberg manufacturing Rexnord Global power com...drezdzond
 
Robust, Precise, Fast - Chose Two for Radiated EMC Measurements!
Robust, Precise, Fast - Chose Two for Radiated EMC Measurements!Robust, Precise, Fast - Chose Two for Radiated EMC Measurements!
Robust, Precise, Fast - Chose Two for Radiated EMC Measurements!Mathias Magdowski
 
Center Enamel is the leading bolted steel tanks manufacturer in China.docx
Center Enamel is the leading bolted steel tanks manufacturer in China.docxCenter Enamel is the leading bolted steel tanks manufacturer in China.docx
Center Enamel is the leading bolted steel tanks manufacturer in China.docxsjzzztc
 
Checklist to troubleshoot CD moisture profiles.docx
Checklist to troubleshoot CD moisture profiles.docxChecklist to troubleshoot CD moisture profiles.docx
Checklist to troubleshoot CD moisture profiles.docxNoman khan
 

Recently uploaded (20)

Présentation IIRB 2024 Prévibest T. Leborgne
Présentation IIRB 2024 Prévibest T. LeborgnePrésentation IIRB 2024 Prévibest T. Leborgne
Présentation IIRB 2024 Prévibest T. Leborgne
 
Paper Machine Troubleshooting manual for paper makers
Paper Machine Troubleshooting manual for paper makersPaper Machine Troubleshooting manual for paper makers
Paper Machine Troubleshooting manual for paper makers
 
【文凭定制】坎特伯雷大学毕业证学历认证
【文凭定制】坎特伯雷大学毕业证学历认证【文凭定制】坎特伯雷大学毕业证学历认证
【文凭定制】坎特伯雷大学毕业证学历认证
 
21 SCHEME_21EC53_VTU_MODULE-4_COMPUTER COMMUNCATION NETWORK.pdf
21 SCHEME_21EC53_VTU_MODULE-4_COMPUTER COMMUNCATION NETWORK.pdf21 SCHEME_21EC53_VTU_MODULE-4_COMPUTER COMMUNCATION NETWORK.pdf
21 SCHEME_21EC53_VTU_MODULE-4_COMPUTER COMMUNCATION NETWORK.pdf
 
Center Enamel is the leading fire water tanks manufacturer in China.docx
Center Enamel is the leading fire water tanks manufacturer in China.docxCenter Enamel is the leading fire water tanks manufacturer in China.docx
Center Enamel is the leading fire water tanks manufacturer in China.docx
 
HB Self-Body characteristics UHV understanding
HB Self-Body characteristics UHV understandingHB Self-Body characteristics UHV understanding
HB Self-Body characteristics UHV understanding
 
B111_FTS_2011.06.01 Fuel Tank Safety.pdf
B111_FTS_2011.06.01 Fuel Tank Safety.pdfB111_FTS_2011.06.01 Fuel Tank Safety.pdf
B111_FTS_2011.06.01 Fuel Tank Safety.pdf
 
Lesson2 Stoichiometry and mass balance.pdf
Lesson2 Stoichiometry and mass balance.pdfLesson2 Stoichiometry and mass balance.pdf
Lesson2 Stoichiometry and mass balance.pdf
 
Amplitude modulation and Demodulation Techniques
Amplitude modulation and Demodulation TechniquesAmplitude modulation and Demodulation Techniques
Amplitude modulation and Demodulation Techniques
 
CCW332-DIGITAL MARKETING QUESTION BANK WITH ANSWERS
CCW332-DIGITAL MARKETING QUESTION BANK WITH ANSWERSCCW332-DIGITAL MARKETING QUESTION BANK WITH ANSWERS
CCW332-DIGITAL MARKETING QUESTION BANK WITH ANSWERS
 
Introduction to Machine Learning Unit-1 Notes for II-II Mechanical Engineerin...
Introduction to Machine Learning Unit-1 Notes for II-II Mechanical Engineerin...Introduction to Machine Learning Unit-1 Notes for II-II Mechanical Engineerin...
Introduction to Machine Learning Unit-1 Notes for II-II Mechanical Engineerin...
 
The Crystal London Arsitektur Hijau Dinda
The Crystal London Arsitektur Hijau DindaThe Crystal London Arsitektur Hijau Dinda
The Crystal London Arsitektur Hijau Dinda
 
fat and edible oil processsing.ppt, refining
fat and edible oil processsing.ppt, refiningfat and edible oil processsing.ppt, refining
fat and edible oil processsing.ppt, refining
 
CHAPTER 1_ HTML and CSS Introduction Module
CHAPTER 1_ HTML and CSS Introduction ModuleCHAPTER 1_ HTML and CSS Introduction Module
CHAPTER 1_ HTML and CSS Introduction Module
 
Forged Fitting Socket Welding Standard- ASME-B16.11-2001.pdf
Forged Fitting Socket Welding Standard- ASME-B16.11-2001.pdfForged Fitting Socket Welding Standard- ASME-B16.11-2001.pdf
Forged Fitting Socket Welding Standard- ASME-B16.11-2001.pdf
 
Microservices: Benefits, drawbacks and are they for me?
Microservices: Benefits, drawbacks and are they for me?Microservices: Benefits, drawbacks and are they for me?
Microservices: Benefits, drawbacks and are they for me?
 
Chase Commerce Center History Nordberg manufacturing Rexnord Global power com...
Chase Commerce Center History Nordberg manufacturing Rexnord Global power com...Chase Commerce Center History Nordberg manufacturing Rexnord Global power com...
Chase Commerce Center History Nordberg manufacturing Rexnord Global power com...
 
Robust, Precise, Fast - Chose Two for Radiated EMC Measurements!
Robust, Precise, Fast - Chose Two for Radiated EMC Measurements!Robust, Precise, Fast - Chose Two for Radiated EMC Measurements!
Robust, Precise, Fast - Chose Two for Radiated EMC Measurements!
 
Center Enamel is the leading bolted steel tanks manufacturer in China.docx
Center Enamel is the leading bolted steel tanks manufacturer in China.docxCenter Enamel is the leading bolted steel tanks manufacturer in China.docx
Center Enamel is the leading bolted steel tanks manufacturer in China.docx
 
Checklist to troubleshoot CD moisture profiles.docx
Checklist to troubleshoot CD moisture profiles.docxChecklist to troubleshoot CD moisture profiles.docx
Checklist to troubleshoot CD moisture profiles.docx
 

Digit recognition

  • 2. MAIN GOAL & APPLICATIONS • Handwritten Digit Recognition is used to recognize the Digits which are written by hand. • A handwritten digit recognition system is used to visualize artificial neural networks. • It is already widely used in the automatic processing of bank cheques, postal addresses, in mobile phones etc
  • 3. INTRODUCTION • Scientists believe that the most intelligent device is the Human Brain. • There is no computer which can beat the level of efficiency of human brain. These Inefficiencies of the computer has lead to evolution of “Artificial Neural Network”. • They differ from conventional systems in the sense that rather than being programmed these system learn to recognize pattern.
  • 4. NEURAL NETWORK Artificial neural networks, usually called neural networks (NNs), are interconnected systems composed of many simple processing elements (neurons) operating in parallel whose function is determined by 1)Network Structure 2)Connection Strengths 3)The Processing performed at Computing elements or nodes.
  • 5. A NEURAL CELL OF THE HUMAN
  • 6. THE MNIST DATABASE • Training of the network is done by a dataset named MNIST dataset. • MNIST dataset has a training set of 60,000 examples, and a test set of 10,000 examples. • All the images in the dataset are of 28x28 pixels.
  • 7. Why Convolutions? Convolution is a simple mathematical operation between two matrices in which one is multiplied to the other element wise and sum of all these multiplications is calculated.  Convolutions are performed for various reasons- • Convolutions provide better feature extraction • They save a lot of computation compared to ANNs. • Less number of parameters are created than those in pure fully connected layers. • Due to less number of required parameters, lesser fully connected layers are needed.
  • 8. ARCHITECTURE OF CONVOLUTION NEURAL NETWORK • Two layers will be convolution layers the first with 64 channels, a 3 x 3 kernel and Rectifier Linear Unit (ReLu) function which will feed 64 images into the second layer • While the second layer will have 32 channels, a 3 x 3 kernel and Rectifier Linear Unit (ReLu) function and feed 32 images into the third layer. • The third layer is the flatten layer to transform the dimentionality of the image to a 1-Dimension array to connect with the last layer which contains 10 neurons and the activation function softmax.
  • 10. TRAINING MODEL Train the model on the training data set ( X_train and y_train). I will iterate 3 times over the entire data set to train on, with a number of 32 samples per gradient update for training. Then store this trained model into the variable hist.
  • 12. CONCLUSION • The handwritten digit recognition using convolutional neural network has proved to be of a fairly good efficiency. • It works better than any other algorithm, including artificial neural networks.