Brain Tumor Classsification in deep learning
I have implemented in this project, I defined my own Convolutional Neural Network architecture and trained the model on the brain images and after training the model, it gave me a 91.66% validation accuracy. And A model saved at 91.66% accuracy with the help of a checkpoint. And I used the data set of brain tumors which was taken from kaggle. This Set contains 155 images who have brain tumors and 98 images who have no brain tumor.
If you Like and Interested in Data Science, Machine Learning , Deep Learning , Natural Language Processing and Python etc . So, you can refer this blog .
If you Like and Interested in Data Science, Machine Learning , Deep Learning , Natural Language Processing and Python etc . So, you can refer this blog .
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: project Soucre Code link
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https://www.datascience2000.in/2021/0...
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