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README.md

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-# Project Name : Steganography-Tools
-# Made By - Priyansh Sharma
+# Project Name : Breast-Cancer-Detection-Using-CNN-on-Ultrasound-Images
 
 This Project is a 7 Layer CNN Model consisting of 3 Convolution layers each followed by a Max Pooling Layer and Fully Connected layer on Breast Ultrasound Images to classify them as Benign, Malignant and Normal stages.
 
 - For each Convolution layer The Filter used is of size 3X3.
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 - We have used Relu as Activation function because it is non-linear in nature and due to its simplicity and less complexity.
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 - For every layer Stride(s) =1 and Padding(p) =0
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 - We have divided the dataset in 4:1 ratio for Model training and validation.
 
-## Project Demo Implementation Video :
+- For every Convolution layer result in CNN we use the formula 
 
+![image](https://user-images.githubusercontent.com/77832407/215328503-d1607b27-f10b-4ac9-b255-6c39575d5a73.png)
 
-- For every Convolution layer result in CNN we use the formula 
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+## Project Implementation Video :
+https://user-images.githubusercontent.com/77832407/215328411-43614891-1561-46d3-9fd6-b18a7b9c4d61.mp4
 
 
 ## Model Summary
 
+![image](https://user-images.githubusercontent.com/77832407/215328731-0b93f8fb-89be-44c3-b55e-858c41a3ac68.png)
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 ## Loss and Accuracy
+![image](https://user-images.githubusercontent.com/77832407/215328542-08dec5d3-074f-468f-96ff-3a9ee2187e2c.png)
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+![image](https://user-images.githubusercontent.com/77832407/215328547-d1c5a115-1283-48e7-86c4-2c4bc3d36945.png)
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 ## Final Model Testing Prediction Result
+![image](https://user-images.githubusercontent.com/77832407/215328581-e58d4af8-ff22-4d78-bb75-8ebcf940811d.png)
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+<sub><sup>Priyansh Sharma</sup></sub>