Image Classification using deep learning: Python Project #python #deeplearning #imageclassification

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Image Classification using deep learning: Python Project #python #deeplearning #imageclassification

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TableofContents

1. Introduction 1
IntroductiontoAI 1
IntroductiontoProblemDomain 1
AimsandObjectives 2
2. Background 3
ProjectOverview 3
ReviewonSimilar Projects 7
ImageClassificationusingdeeplearning(PlantDiseaseClassification) 7
ObjectDetectionusingdeeplearning(Food Identification) 8
ApproachedMethodology 8
K-NNClassifier 8
SVM 9
CNN 10
3. Methodology 11
ProposedMethodology 11
Algorithm 12
Pseudocode 14
Flowchart 14
4. Implementation 16
Tensorflow 16
Python 16
Anaconda 16
Keras 16
NumPy 17
Matplotlib 17
5. AchievedResult 18
6. Conclusion 24
Analysisofwork 24
Analysisofworkasrealworldsolution 24
7. References 26
8. Appendix 28

Figure1:Blockdiagramofhandwrittencharacterrecognition(Kharkaretal., 2017) 3
Figure2:100samplesfromtheMNISTdataset(Baldominosetal.,2019) 5
Figure3:MNISTdatasetsavailableinKaggle 6
Figure4:MNISTdatasetsamplefordigit'7(Baldominosetal., 2019) 7
Figure5:PlantdiseasedetectionandclassificationusingCNN(Saleemetal.,2019) 7
Figure6:Imagesusedindatasetoffooddetection(Kagayaetal.,2014) 8
Figure7:K-NNClassificationdiagram(Roy&Saravanan, 2017) 9
Figure8:SupportVectorMachinealgorithm(Dutt&Dutt,2017) 10
Figure9:ConvolutionalNeuralNetworkslayers(Khanetal., 2018) 10
Figure10:BasicCNNarchitecture(Deotte,2019) 12
Figure11:CNNlayersforhandwrittendigitrecognition(Dutt&Dutt, 2017) 13
Figure12:FlowchartoftheMNISThandwrittendigitrecognition 15
Figure13:Importinglibrariesandpackages 18
Figure14:LoadingMNISTdatasetsfromtensorflowandkeras 18
Figure15:Displayingoneofthegrayscaleimagefromtrainingdatasets 18
Figure16:Normalizingthetrainingandtestingdatasets 19
Figure17:BuildingthemodelusingCNN 19
Figure18:CompilingmodelusingAdam optimization 19
Figure19:Starttrainingprocessusingtraindatasets 20
Figure20:Evaluatethemodelperformance 20
Figure21:Makingpredictionusingtestdataset 20
Figure22:Printingoutpredictednumberusingindex 20
Figure23:Reshapeimageoftestdatasets 21
Figure24:Displayingoneoftheimagesfromtestdatasets 21
Figure25:Plottinggraphofdataaccuracyachievedduringevaluatingmodel 21
Figure26:Plottinggraphofdatalossduringevaluatingmodel 22
Figure27:Plottingimagesandassigningcolorforpredictedandtruelabel 22
Figure28:Assigningnumberofrowsandcolumnsdisplayedfollowedwithimages 23

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