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Chest-Xray-Pneumonia-Prediction built with OpenCV, Keras/TensorFlow using Deep Learning and Computer Vision concepts.

License: MIT License

Jupyter Notebook 100.00%
computer-vision deep-learning neural-networks pneumonia-detection python

chest-xray-pneumonia-prediction's Introduction

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beingaryan/

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Who am I:question:

git commit -m "Hello, I'm Pre-Final Year Undergraduate, pursuing Information Technology from VIT"

Where did I work earlier:question::man_technologist:

* Nvidia [Recommendation Systems Intern]
* Indian Institute of Technology, Kharagpur [Natural Language Processing Intern]
* Tata Communications [Deep Learning Intern]
* The Robotics Forum [ML Developer]
* GedIT Club [ML Trainer]

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What can I help with:question::cyclone:

"Pretty much ML/DL stuffs and interesting Project Ideas!" 😁

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Languages and Tools:

C C++ Python MySql TensorFlow Git Convolutional Neural Networks


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chest-xray-pneumonia-prediction's Issues

Why using X_test and y_test to train the model

Why do you used X_test and y_test to validate the model as showing in the image below
history = model.fit(X_train, y_train, epochs=12, validation_data=(X_test, y_test), shuffle=True)
Aren’t you supposed to use the X_val and y_val?

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