A tensorflow model written in Python

In particular, it uses a dataset of images to create a model that can distinguish between chest images that have and don't have cancer.

Tensorflow 2.4 was implemented as part of this project to gain a deeper understanding of the software and to serve as an example for other similar projects in the future.

As a programming enthusiast in this subfield, I considered tensorflow to be the best machine learning framework available. My choice of technology is based on this.

Besides learning more about the framework and machine learning, I also gained a better understanding of programming and how it works in real time.

To be able to complete the project, I had to figure out and comprehend what had to be written.

This project stands out from the crowd due to its concise code. Furthermore, the model is easy to use and intuitive.

pip install --upgrade --user pip

pip install --upgrade virtualenv

Create and activate the virtual enviroment.The python version already needs to be installed in your pc

I am using this python version because at the moment this python version is compatible with tensorflow and keras

virtualenv envname

Windows:

envname\Scripts\activate

macOS/Linux:

envname/bin/activate

pip install tensorflow==2.4.1 pandas==1.2.4 numpy==1.2 ipykernel

python -m ipykernel install --name=envname

cd ../..

jupyter notebook

Dataset used: https://www.kaggle.com/paultimothymooney/chest-xray-pneumonia