Deep Learning

Ihtisham Mehmood

I developed a pneumonia classifier using Stream lit, where I applied transfer learning to train a convolutional neural network (CNN) model. By leveraging a pre-trained model, I was able to adapt it for the specific task of classifying pneumonia from chest X-ray images.
This approach allowed for efficient training with high accuracy, even with a limited dataset. The classifier can quickly and effectively detect pneumonia cases, making it a valuable tool for early diagnosis.
With Streamlit, I created an interactive interface that makes the model accessible and easy to use, providing instant feedback based on the image input.
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Posted Oct 24, 2024

I built a pneumonia classifier using Stream lit and transfer learning to train a CNN model. Streamlit enabled me to create an interactive interface.

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