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# Algorithm_03
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1.Model
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# 1.Model
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## + Model 1: 3 Layer Model with 1 Convolution Layer
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### Model 1: 3 Layer Model with 1 Convolution Layer
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![m1](https://user-images.githubusercontent.com/39721753/83510850-ab457a00-a508-11ea-9dd0-7e188d71a151.PNG)
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![m1 summary](https://user-images.githubusercontent.com/39721753/83510963-d7f99180-a508-11ea-8596-41cefafc670a.PNG)
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## + Model 2: 5 Layer Model with 2 Convolution Layer
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### Model 2: 5 Layer Model with 2 Convolution Layer
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![m2](https://user-images.githubusercontent.com/39721753/83511227-4ccccb80-a509-11ea-8985-54e8fc4fd1a8.PNG)
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-Summary-
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![m2 summary](https://user-images.githubusercontent.com/39721753/83511259-56563380-a509-11ea-9d11-55492ff29c4b.PNG)
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## + Model 3: 7 Layer Model with 4 Convolution Layer
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### Model 3: 7 Layer Model with 4 Convolution Layer
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![m3](https://user-images.githubusercontent.com/39721753/83511412-90bfd080-a509-11ea-8535-c66d0889c868.PNG)
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![m3 summary](https://user-images.githubusercontent.com/39721753/83511434-99b0a200-a509-11ea-870e-b9eee3ece518.PNG)
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2.Training with Training loss
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# 2.Training with Training loss
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# Training Step
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## Training Step
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# Training for 5 epochs
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## Training for 5 epochs
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## + Model 1
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### Model 1
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![m1-2](https://user-images.githubusercontent.com/39721753/83511671-f744ee80-a509-11ea-9d4a-33e1ffdfbcb4.PNG)
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## + Model 2
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### Model 2
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![m2 training](https://user-images.githubusercontent.com/39721753/83511696-01ff8380-a50a-11ea-9bdc-c66e3bda205f.PNG)
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## + Model 3
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### Model 3
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![m3 training](https://user-images.githubusercontent.com/39721753/83511713-0b88eb80-a50a-11ea-9ca6-a3c934f991a1.PNG)
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3.Test Accuracy
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# 3.Test Accuracy
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## + Model 1
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### Model 1
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![m1 test](https://user-images.githubusercontent.com/39721753/83511850-42f79800-a50a-11ea-9c1c-b8ddf2e91e19.PNG)
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## + Model 2
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### Model 2
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![m2 test](https://user-images.githubusercontent.com/39721753/83511892-4db22d00-a50a-11ea-8b97-113dc21e0b1d.PNG)
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## + Model 3
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### Model 3
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![m3 test](https://user-images.githubusercontent.com/39721753/83511950-66bade00-a50a-11ea-85d0-699c95fb72fe.PNG)
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4.Images and corresponding probability that predicted Right
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# 4.Images and corresponding probability that predicted Right
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## + Model 1
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### Model 1
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![m1 image](https://user-images.githubusercontent.com/39721753/83512102-af729700-a50a-11ea-8ca9-c1c497310815.PNG)
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## + Model 2
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### Model 2
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![m2 image](https://user-images.githubusercontent.com/39721753/83512123-b7cad200-a50a-11ea-8bb2-d4cc4a827910.PNG)
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## + Model 3
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### Model 3
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![m3 image](https://user-images.githubusercontent.com/39721753/83512144-c2856700-a50a-11ea-900b-536815a3c58d.PNG)
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5.Images and corresponding probability that predicted Wrong
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# 5.Images and corresponding probability that predicted Wrong
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## + Model 1
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### Model 1
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![m1 last](https://user-images.githubusercontent.com/39721753/83512221-db8e1800-a50a-11ea-836f-90a06f5aa015.PNG)
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## + Model 2
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### Model 2
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![m2 last](https://user-images.githubusercontent.com/39721753/83512245-e3e65300-a50a-11ea-92d3-55c5eec65034.PNG)
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### Model 3
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![m3 last](https://user-images.githubusercontent.com/39721753/83512272-ed6fbb00-a50a-11ea-9f2f-7695908721ce.PNG)

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